babytreecc/ICLR2025review · Datasets at Hugging Face

y59zhBNKGZ

Towards Making Linear Attention Usable

main

Active

Linear Attention;Kernel Separation;Transformers;Memory Reduction

infrastructure, software libraries, hardware, systems, etc.

3;3;3;5

4;4;4;3

2;2;2;2

2;2;1;2

2;2;2;2

3.5

3.75

2

1.75

2

-1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

y5B0ca4mjt

PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations

main

Active

Gaussians;Physics-informed Deep Learning

applications to physical sciences (physics, chemistry, biology, etc.)

5;6;6;8

5;2;4;4

2;3;3;4

2;3;3;3

4;3;3;4

6.25

3.75

3

2.75

3.5

-0.157895

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

y5G1BfV7Am

X-VILA: Cross-Modality Alignment for Large Language Models

main

Withdraw

Multi-task learning;vision-language models;generative models

foundation or frontier models, including LLMs

Hanrong Ye;De-An Huang;Yao Lu;Zhiding Yu;Wei Ping;Andrew Tao;Jan Kautz;Song Han;Dan Xu;Pavlo Molchanov;Hongxu Yin

~Hanrong_Ye1;~De-An_Huang1;~Yao_Lu13;~Zhiding_Yu1;~Wei_Ping1;~Andrew_Tao1;~Jan_Kautz1;~Song_Han5;~Dan_Xu4;~Pavlo_Molchanov1;~Hongxu_Yin2

3;3;5;8

5;4;4;3

2;2;2;3

2;2;3;3

4.75

4

2.25

2.5

-0.863868

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "We would like to sincerely thank all reviewers for their valuable feedback, and we have deci...

y5einmJ0Yx

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation

main

Active

Graph Neural Network;Out-of-Distribution Detection

learning on graphs and other geometries & topologies

6;6;8;8

3;2;3;3

3;3;4;3

3;2;4;3

7

2.75

3.25

3

0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

y5tkxH7kxQ

Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration

main

Active

LLM planning;Large Language Models;Multi-Agent Collaboration

foundation or frontier models, including LLMs

3;5;6;6

4;4;4;3

3;2;3;3

2;2;3;3

3;2;3;4

5

3.75

2.75

2.5

3

-0.471405

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

y6wVRmPwDu

QuantBench: Benchmarking AI Modeling for Quantitative Investment

main

Active

deep learning;quantitative investment

datasets and benchmarks

3;3;3;8

4;2;4;4

2;2;3;3

2;2;2;3

2;2;3;4

4.25

3.5

2.5

2.25

2.75

0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

y7Ud3RAPT8

MolCoMA: Complementary Masking Strategy for Promoting Atom-Level Multi-Modal Molecular Representation

main

Active

Multi-modal Fusion;Molecular Pretraining;Molecular Representation Learning

applications to physical sciences (physics, chemistry, biology, etc.)

3;3;5;5

4;4;4;4

2;1;3;3

2;1;2;2

3;2;2;2

4

2.25

1.75

2.25

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

y80D4IojuY

Agent-to-Sim: Learning Interactive Behavior Model from Casual Longitudinal Videos

main

Active

dynamic 3d reconstruction; multi-video registration; motion generation

applications to computer vision, audio, language, and other modalities

3;6;6;6

3;2;4;5

2;3;2;3

3;3;3;3

2;3;3;4

5.25

3.5

2.5

3

0.258199

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

y8TjnkdWNA

Balancing Label Quantity and Quality for Scalable Elicitation

main

Active

Scalable oversight;Alignment;Safety;Few-shot learning;Eliciting latent knowledge;Weak-to-strong generalization

alignment, fairness, safety, privacy, and societal considerations

3;3;5

3;3;3

3;2;3

2;2;2

1;2;2

3.666667

3

2.666667

2

1.666667

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

y8qBBbAdEv

Towards a Knowledge guided Multimodal Foundation Model for Spatio-Temporal Remote Sensing Applications

main

Active

Foundation model;Spatiotemporal modelling;Remote Sensing;Knowledge guided

foundation or frontier models, including LLMs

1;3;5;5

4;4;3;3

1;2;2;3

1;2;3;3

1;1;3;2

3.5

2

2.25

1.75

-0.904534

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

y8uPsxR8PN

Sort-free Gaussian Splatting via Weighted Sum Rendering

main

Active

Sort-free;Gaussian Splatting;Weighted Sum Rendering

applications to computer vision, audio, language, and other modalities

5;6;6;8

4;3;3;4

2;3;2;3

2;3;3;4

3;2;3;4

6.25

3.5

2.5

3

0.229416

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

y9A2TpaGsE

Language Agents Meet Causality -- Bridging LLMs and Causal World Models

main

Active

Large Language Models;Causality;Causal Representation Learning;Language Agents;Planning

applications to robotics, autonomy, planning

5;6;6;8

3;2;4;4

3;3;2;3

3;3;3;3

3;3;2;3

6.25

3.25

2.75

3

2.75

0.4842

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

y9Lbr6vFHF

Bi-perspective Splitting Defense: Achieving Clean-Data-Free Backdoor Security

main

Active

Trustworthy AI;Backdoor Defense;Deep Neural Networks

alignment, fairness, safety, privacy, and societal considerations

3;5;5;6;6

5;4;4;4;4

3;3;3;3;3

2;3;3;3;3

2;3;3;4;3

5

4.2

3

2.8

3

-0.912871

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

y9Xp9NozPR

The Low-Rank Bottleneck in Attention

main

Active

Learning theory;Expressive capacity;Expressive power;Transformer;Attention

learning theory

3;3;6;8

4;3;3;3

3;2;4;3

3;2;3;3

3;2;4;3

5

3.25

3

2.75

3

-0.544331

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

y9e1tcWlme

Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning

main

Active

reinforcement learning;markov decision processes;discrete optimization

reinforcement learning

3;5;5;5

4;3;4;4

2;2;2;3

2;3;2;2

2;4;3;3

4.5

3.75

2.25

3

-0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

y9tQNJ2n1y

CASE-Bench: Context-Aware Safety Evaluation Benchmark for Large Language Models

main

Active

safety;benchmark;context;large language model;contextual integrity

datasets and benchmarks

5;5;5;5

3;3;2;3

3;3;2;2

2;2;2;2

2;3;3;4

5

2.75

2.5

2

3

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

y9xNQZjUJM

Collaborative Theorem Proving with Large Language Models: Enhancing Formal Proofs with ProofRefiner

main

Desk Reject

Agent-base System;Reasoning

transfer learning, meta learning, and lifelong learning

Haoyi Zhang;Andrew Liu;Zixuan Wang;Feiyang Wang

~Haoyi_Zhang1;~Andrew_Liu8;~Zixuan_Wang17;~Feiyang_Wang4

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": null, "confidence": null, "contribution": null, "desk_reject_comments": { "value": "The pape...

yAN2oPHs7y

Neuro-Symbolic Rule Lists

main

Active

Neuro-Symbolic;Rule Induction; Intepretability

interpretability and explainable AI

5;5;5;6

5;4;4;4

2;3;2;3

3;4;3;3

5.25

4.25

2.5

3.25

-0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yAU5X77S06

ADMP-GNN: Adaptive Depth Message Passing GNN

main

Active

Graph Neural Networks

learning on graphs and other geometries & topologies

3;3;3;6

3;4;4;3

3;2;2;3

3;2;1;3

3;3;2;3

3.75

3.5

2.5

2.25

2.75

-0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yAzN4tz7oI

RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

main

Active

robot learning;diffusion models;foundation models;bimanual manipulation

applications to robotics, autonomy, planning

5;6;6;8

3;4;4;3

2;3;3;4

2;3;4;4

3;3;3;4

6.25

3.5

3

3.25

-0.229416

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yBLBls6ryd

Fast Fractional Natural Gradient Descent using Learnable Spectral Factorizations

main

Active

natural gradient;Riemannian optimization;positive-definite manifold;Kronecker-facotrized;Shampoo

optimization

3;3;5;5;5;5;8

2;3;3;2;4;2;4

3;2;3;2;3;2;4

2;1;2;3;3;2;4

1;1;2;2;2;1;3

4.857143

2.857143

2.714286

2.428571

1.714286

0.536783

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

yBhSORdXqq

Modular addition without black-boxes: Compressing explanations of MLPs that compute numerical integration

main

Active

mechanistic interpretability;proof;guarantees;interpretability;numerical integration

interpretability and explainable AI

3;3;6;8

5;3;2;3

2;2;3;4

1;2;3;3

2;2;2;3

5

3.25

2.75

2.25

-0.540738

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

yBlVlS2Fd9

WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling

main

Active

speech representation;discrete codec;audio language model

applications to computer vision, audio, language, and other modalities

5;5;8;10

5;5;5;4

3;2;3;3

2;1;4;3

2;3;3;3

7

4.75

2.75

2.5

2.75

-0.816497

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yCAigmDGVy

HiQ-Lip: A Quantum-Classical Hierarchical Method for Global Lipschitz Constant Estimation of ReLU Networks

main

Active

Quantum Computing;Lipschitz Constant;Neural Network;Quantum-Classical Hybrid Method;Coherent Ising Machine;QUBO

learning theory

3;3;3;5;6

4;3;3;4;4

2;2;3;2;4

2;2;2;2;1

3;3;3;3;4

4

3.6

2.6

1.8

3.2

0.645497

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

yCEf1cJDGh

Truthful Aggregation of LLMs with an Application to Online Advertising

main

Active

mechanism design;llm;auction;online advertising

alignment, fairness, safety, privacy, and societal considerations

3;5;5;6

4;3;3;2

2;2;2;3

1;2;2;3

2;3;3;3

4.75

3

2.25

2

2.75

-0.973329

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

yCN4yI6zhH

GPromptShield: Elevating Resilience in Graph Prompt Tuning Against Adversarial Attacks

main

Active

pre-training; prompt tuning; robustness; adversarial attacks.

unsupervised, self-supervised, semi-supervised, and supervised representation learning

3;5;6

4;3;3

2;3;3

3;2;3

4.666667

3.333333

2.666667

-0.944911

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

yCr55EjC1d

Node Duplication Improves Cold-start Link Prediction

main

Active

Graph Neural Network;Link Prediction;Cold-start;Graph Augmentation

learning on graphs and other geometries & topologies

3;3;3;5

4;4;4;3

2;1;2;3

1;2;2;2

3;2;3;3

3.5

3.75

2

1.75

2.75

-1

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yD2JMeKumt

DOTA: Distributional Test-Time Adaptation of Vision-Language Models

main

Active

Test-time;uncertainty;vision-language models

transfer learning, meta learning, and lifelong learning

5;5;5;6

4;4;5;5

3;2;2;3

2;2;3;3

3;3;3;3

5.25

4.5

2.5

3

0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

yD7oAhFEtD

Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers

main

Active

Attention Acceleration;Fast Fourier Transforms;Gradient Computation

learning theory

3;5;6

3;2;2

2;3;3

2;2;3

4.666667

2.333333

2.666667

2.333333

-0.944911

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

yDICgRUj5s

A Causal Lens for Evaluating Faithfulness Metrics

main

Active

faithfulness;diagonsticity;natural language explanations;interpretability;model editing

interpretability and explainable AI

3;3;5;5;6

4;4;4;3;3

2;1;2;3;3

2;2;2;2;3

4;2;2;2;3

4.4

3.6

2.2

2.6

-0.748455

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

yDlvteYBbF

Differentiable Distance Between Hierarchically-Structured Data

main

Active

Distance;Distance function;Tree-structured data;Heterogenous Graphs;JSONs;Multiple Instance Learning

learning on graphs and other geometries & topologies

3;3;5;5

3;4;3;3

2;3;2;2

1;3;3;3

4

3.25

2.25

2.5

-0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yDy9fZXNJV

The Graph's Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation

main

Active

LLM;Knowledge Distillation;Verilog;Graph Neural Network

applications to computer vision, audio, language, and other modalities

3;5;5;6

4;5;4;2

2;3;3;3

1;4;3;3

4.75

3.75

2.75

-0.473684

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yEPNPbF8E7

SEED-Story: Multimodal Long Story Generation with Large Language Model

main

Withdraw

LLM;Story telling;multi-modal generation

applications to computer vision, audio, language, and other modalities

Shuai Yang;Yuying Ge;Yang LI;Yukang Chen;Yixiao Ge;Ying Shan;Ying-Cong Chen

~Shuai_Yang7;~Yuying_Ge2;~Yang_LI82;~Yukang_Chen1;~Yixiao_Ge2;~Ying_Shan2;~Ying-Cong_Chen1

3;3;3;6;6

3;3;4;5;4

2;2;2;4;3

2;2;3;4;3

4;3;2;3;3

4.2

3.8

2.6

2.8

3

0.763763

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": null, "confidence": null, "contribution": null, "desk_reject_comments": null, "details_of_ethi...

yEnJvc7ogD

An Efficient Plugin Method for Metric Optimization of Black-Box Models

main

Active

optimization;black box systems;domain adaptation;distribution shift;classification

transfer learning, meta learning, and lifelong learning

3;3;5;5

4;5;4;4

3;2;2;2

2;2;2;2

4;3;2;3

4

4.25

2.25

2

3

-0.57735

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yEox25xAED

Grammar Reinforcement Learning: path and cycle counting in graphs with a Context-Free Grammar and Transformer approach

main

Active

Graph;Reinforcement Learning;Grammar;Cycle Counting

reinforcement learning

3;5;5;5;6

3;3;4;4;4

2;2;2;3;3

2;2;2;2;2

1;2;3;3;3

4.8

3.6

2.4

2

2.4

0.666667

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yEwakMNIex

Unified Neural Solvers for General TSP and Multiple Combinatorial Optimization Tasks via Problem Reduction and Matrix Encoding

main

Active

Travelling Salesman Problem;Neural Combinatorial Optimization

learning on graphs and other geometries & topologies

3;5;5;5

4;5;4;3

3;3;2;3

2;2;2;3

2;3;3;3

4.5

4

2.75

2.25

2.75

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

yFEqYwgttJ

MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation

main

Active

vision-guided audio generation;fast inference;open-domain sound synthesis;masked diffusion models;temporal learning;visual sound source localization;generative AI

generative models

1;5;6;6

4;4;4;4

1;2;3;3

1;2;4;3

4;2;4;4

4.5

4

2.25

2.5

3.5

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yFGR36PLDJ

Simple, Good, Fast: Self-Supervised World Models Free of Baggage

main

Active

Reinforcement learning;World models;Self-supervised learning;Atari 100k

reinforcement learning

3;6;6;8

3;2;3;3

3;3;3;3

1;3;2;3

3;3;2;3

5.75

2.75

3

2.25

2.75

-0.080845

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

yG1fW8igzP

Data-Augmented Phrase-Level Alignment for Mitigating Object Hallucination

main

Active

Multimodal LLMs;Object Hallucination;Vision-language Models

applications to computer vision, audio, language, and other modalities

3;5;6;8

5;4;4;4

2;2;3;3

2;2;3;4

3;2;3;4

5.5

4.25

2.5

2.75

3

-0.800641

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yGnsH3gQ6U

Image and Video Tokenization with Binary Spherical Quantization

main

Active

quantization;visual compression;visual generation

applications to computer vision, audio, language, and other modalities

5;6;6;6

5;4;3;4

2;3;3;3

2;3;3;2

2;3;3;3

5.75

4

2.75

2.5

2.75

-0.816497

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yGv5GzlBwr

Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting

main

Active

Self-supervised Learning;Diffusion Model;Time Series Forecasting

learning on time series and dynamical systems

3;5;5;8

4;3;4;3

2;3;3;3

2;2;3;3

2;3;3;3

5.25

3.5

2.75

2.5

2.75

-0.70014

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yHVjncoGSp

Deep Learning Aided Broadcast Codes With Feedback

main

Active

Deep Learning;Wireless Communication;Feedback Coding;Error Control Coding;Federated Learning

other topics in machine learning (i.e., none of the above)

3;3;3;5

5;3;3;5

2;2;1;3

1;2;1;2

1;3;1;2

3.5

4

2

1.5

1.75

0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

yHj6EunfVQ

Contextual Self-paced Learning for Weakly Supervised Spatio-Temporal Video Grounding

main

Active

spatio-temporal video grounding;weakly supervised learning

applications to computer vision, audio, language, and other modalities

3;5;6;6

4;4;4;4

1;2;3;3

2;3;3;3

5

4

2.25

2.75

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yI60yhMQ7L

Diversity Helps Jailbreak Large Language Models

main

Withdraw

Attack;Large Language Model;Safety

alignment, fairness, safety, privacy, and societal considerations

Weiliang Zhao;Daniel Ben-Levi;Junfeng Yang;Chengzhi Mao

~Weiliang_Zhao2;~Daniel_Ben-Levi1;~Junfeng_Yang1;~Chengzhi_Mao2

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": null, "confidence": null, "contribution": null, "desk_reject_comments": null, "details_of_ethi...

yIN4yDCcmo

INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance in Insurance

main

Active

large vision-language model;insurance;multimodal

datasets and benchmarks

3;5;5;5

4;3;4;5

1;3;3;3

1;3;2;3

2;3;3;3

4.5

4

2.5

2.25

2.75

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

yIRtu2FJvY

A Matrix Variational Auto-Encoder for Variant Effect Prediction in Pharmacogenes

main

Active

variant effect prediction;variational auto-encoder;transformer;deep learning

applications to physical sciences (physics, chemistry, biology, etc.)

3;3;3;3

4;4;3;4

3;2;1;3

1;1;1;2

2;1;1;4

3

3.75

2.25

1.25

2

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yIbSXuLoO1

Set-Size Dependent Combinatorial Bandits

main

Active

Combinatorial Multi-armed Bandit;Set-Size Dependent;Online learning

learning theory

3;3;5;6

4;4;3;3

2;2;2;3

2;3;2;3

2;3;2;4

4.25

3.5

2.25

2.5

2.75

-0.96225

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yIdCQFvbYe

Bayesian Learning of Adaptive Koopman Operator with Application to Robust Motion Planning for Autonomous Trucks

main

Active

Koopman Theory;Motion Planning;Autonomous Systems

applications to robotics, autonomy, planning

3;5;5;5;8;8

2;3;3;3;4;4

2;2;3;3;3;2

2;3;3;2;3;3

2;3;3;3;3;4

5.666667

3.166667

2.5

2.666667

3

0.99083

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yIlyHJdYV3

A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations

main

Active

Machine Learning;Inverse Problems;Full-Waveform Inversion;Seismic Imaging;ML4Science

applications to physical sciences (physics, chemistry, biology, etc.)

3;5;5;8

4;5;3;4

2;3;2;3

2;2;2;3

2;3;3;4

5.25

4

2.5

2.25

3

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yJ9QNbpMi2

Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers

main

Active

fMRI;visual cortex;neuroscience;cognitive science;brain;vision transformer;semantic selectivity

applications to neuroscience & cognitive science

5;6;6;6;8

2;4;3;4;4

2;3;3;3;4

3;3;3;3;4

6.2

3.4

3

3.2

0.663403

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yJAk0n0NyU

BlockDance: Reuse Structurally Similar Spatio-Temporal Features to Accelerate Diffusion Transformers

main

Active

Diffusion Models;Efficient Image and Video Generation

generative models

5;5;5;5

5;4;5;3

2;2;3;3

2;1;2;2

2;3;3;3

5

4.25

2.5

1.75

2.75

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

yJduhi9mDQ

HÖLDER PRUNING: LOCALIZED PRUNING FOR BACKDOOR REMOVAL IN DEEP NEURAL NETWORKS

main

Active

Holder Pruning;Holder iteration defense;backdoor attacks;Deep Neural Networks;backdoor defense

other topics in machine learning (i.e., none of the above)

3;3;5;5

4;4;5;4

2;2;4;2

2;2;2;2

2;2;4;3

4

4.25

2.5

2

2.75

0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yLYMFRZkdU

SimpleStrat: Diversifying Language Model Generation with Stratification

main

Active

Diverse Generation; Large Language Models Sampling; Stratified Sampling

probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.)

3;3;5

4;4;3

2;3;2

2;2;2

3;2;2

3.666667

2.333333

2

2.333333

-1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yLhJYvkKA0

On the Price of Differential Privacy for Hierarchical Clustering

main

Active

Hierarchical clustering;differential privacy;sparsest cut

alignment, fairness, safety, privacy, and societal considerations

5;6;6

4;3;3

3;3;2

3;2;4

3;3;4

5.666667

3.333333

2.666667

3

3.333333

-1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yLmcYLP3Yd

Discrete Neural Algorithmic Reasoning

main

Active

neural algorithmic reasoning;graph neural networks

learning on graphs and other geometries & topologies

3;5;5;6;6

3;4;2;3;4

2;2;2;2;3

2;2;2;3;3

2;3;2;2;3

5

3.2

2.2

2.4

0.243975

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yM7rw8Bo1f

FE-GNN: Feature Enhanced Graph Neural Networks for Account Classification in Ethereum

main

Active

Blockchain;Identity identification;GNN

unsupervised, self-supervised, semi-supervised, and supervised representation learning

3;3;5;6

4;5;5;4

1;2;3;3

1;2;2;3

2;2;3;3

4.25

4.5

2.25

2

2.5

-0.19245

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

yMHe9SRvxk

Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning

main

Active

Online RLHF;Diffusion Model Finetuning

generative models

5;5;6;6

3;3;4;2

2;2;4;4

2;3;3;3

3;4;4;3

5.5

3

2.75

3.5

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

yNZi38u52U

Model Cautiousness: Towards Safer Deployment in Critical Domains

main

Withdraw

cautiousness;calibration;out-of-distribution;safety

probabilistic methods (Bayesian methods, variational inference, sampling, UQ, etc.)

Gianluca Detommaso

~Gianluca_Detommaso1

3;3;3;6

2;4;4;4

3;1;2;3

1;1;2;2

3;2;2;3

3.75

3.5

2.25

1.5

2.5

0.333333

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": { "value": "Given the ratings, I withdraw this paper." }, "confidence": null, "contribution"...

yOOJwR15xg

MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models

main

Active

LLM;LoRA

foundation or frontier models, including LLMs

3;5;6;6;8

4;4;2;3;4

2;3;2;3;4

2;2;2;3;3

3;3;3;3;2

5.6

3.4

2.8

2.4

2.8

-0.184637

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yORSk4Ycsa

ReCogLab: a framework testing relational reasoning, cognitive hypotheses on LLMs

main

Active

Congitive Science;Large Language Models;Datasets;Evaluation;Relational Reasoning

datasets and benchmarks

3;3;5;6

3;4;4;4

1;3;2;3

1;1;2;3

1;3;2;2

4.25

3.75

2.25

1.75

2

0.555556

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yOhNLIqTEF

Generalization of Transformers with In-Context Learning: An Empirical Study

main

Active

generalization;in-context learning;transformer

alignment, fairness, safety, privacy, and societal considerations

5;6;8

4;3;3

2;3;4

2;3;3

3;2;4

6.333333

3.333333

3

2.666667

3

-0.755929

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

yOrtDi6IXs

Provably Efficient Linear Bandits with Instantaneous Constraints in Non-Convex Feature Spaces

main

Active

Linear Bandits;Non-convex feature spaces;Instantaneous hard constraints;Safety;UCB

learning theory

3;3;5;6

3;4;3;2

3;3;2;3

2;1;3;2

3;3;2;3

4.25

3

2.75

2

2.75

-0.816497

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yP0iKsinmk

AdaFlow: Efficient Long Video Editing via Adaptive Attention Slimming And Keyframe Selection

main

Active

video editing;diffusion model;keyframe selection;token slimming

generative models

3;5;6;6

5;4;5;4

3;3;3;3

2;2;3;3

2;3;3;3

5

4.5

3

2.5

2.75

-0.408248

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yPxhj1FKhG

APCtrl: Adding Conditional Control to Diffusion Models by Alternative Projection

main

Active

Diffusion Models;Condition Diffusion;Alternative Projection;Control-on-Training;Control-on-Sampling

generative models

3;3;5

4;4;3

2;2;2

1;2;2

3.666667

2

1.666667

-1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": null, "confidence": null, "contribution": null, "desk_reject_comments": null, "details_of_ethi...

yPyb2j7oZc

ReZero: Boosting MCTS-based Algorithms by Backward-view and Entire-buffer Reanalyze

main

Active

Deep Reinforcement Learning;Monte Carlo tree search;MuZero;efficiency optimization;reanalyze

reinforcement learning

3;3;5;6

4;2;5;2

1;2;2;3

2;1;1;3

2;1;2;3

4.25

3.25

2

1.75

2

-0.037037

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

yQcFniousM

Pacmann: Efficient Private Approximate Nearest Neighbor Search

main

Active

Information Retrieval;Privacy

alignment, fairness, safety, privacy, and societal considerations

6;6;6;8

2;3;2;4

3;3;3;3

3;2;3;3

2;3;3;4

6.5

2.75

3

2.75

3

0.870388

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

yR47RmND1m

Identifying and Tuning Safety Neurons in Large Language Models

main

Active

Large Language Models;Alignment;Safety;Interpretability;Neuron Detection

alignment, fairness, safety, privacy, and societal considerations

3;5;6;8;8

5;2;4;4;3

2;3;3;3;4

3;3;3;3;4

6

3.6

3

3.2

-0.310087

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

yRKelogz5i

Causally Motivated Sycophancy Mitigation for Large Language Models

main

Active

Large Language Model; Sycophancy; Causal Modeling

foundation or frontier models, including LLMs

5;5;5;6

4;3;3;4

3;2;2;2

3;3;2;2

2;2;2;2

5.25

3.5

2.25

2.5

2

0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yRd4loGAhJ

SEAL: Scaling to Emphasize Attention for Long-Context Retrieval

main

Active

large language models;long context;retrieval;attention;supervised fine-tuning

unsupervised, self-supervised, semi-supervised, and supervised representation learning

3;5;5;6

4;4;4;4

2;3;2;3

2;2;3;2

1;3;2;3

4.75

4

2.5

2.25

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

ySJSGZxN7M

Dual-Branch HNSW Approach with Skip Bridges and LID-Driven Optimization

main

Active

Nearest Neighbor Search;Optimization

optimization

1;5;5

5;4;3

1;3;2

1;2;2

1;3;2

3.666667

4

2

1.666667

2

-0.866025

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

ySRsm6HDy5

Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning

main

Active

Multi-agent reinforcement learning;Robust Markov games;Game theory;Distribution shift

learning theory

5;5;5;5

3;4;4;3

2;3;3;2

2;2;3;2

2;2;3;3

5

3.5

2.5

2.25

2.5

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

ySmovxuDMi

HIVEX: A High-Impact Environment Suite for Multi-Agent Research

main

Active

Environment Benchmark;Multi-Agent Reinforcement Learning;Multi-Agent Systems;Critical Ecological Challenges

datasets and benchmarks

3;3;5;6

4;4;4;3

2;1;3;3

2;1;2;3

3;2;3;3

4.25

3.75

2.25

2

2.75

-0.777778

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yTEwmr1TJb

Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Dataset

main

Active

Robot Learning;Foundation Model;Representation Learning

applications to robotics, autonomy, planning

3;6;6;8

4;4;5;4

2;3;3;3

2;2;3;3

3;3;4;3

5.75

4.25

2.75

2.5

3.25

0.080845

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

yUC8pU508S

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding

main

Active

Parallel Encoding; Context-Augmented LLM; Efficient Inference; Context Window Expansion

generative models

3;5;5;6;6

4;4;4;3;2

4;3;3;3;3

2;2;2;3;2

2;3;2;4;3

5

3.4

3.2

2.2

2.8

-0.684653

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

yUefexs79U

Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations

main

Active

Neural operators;Partial differential equations;Nonlinear parabolic equations;Quantitative universal approximation

learning theory

5;5;5;8

3;4;5;4

3;3;3;4

3;3;4;4

5.75

4

3.25

3.5

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

yVGGtsOgc7

Disentangling Representations through Multi-task Learning

main

Active

zero-shot generalization;disentanglement;representation learning;multi-task learning;interpretability;computational neuroscience;evidence accumulation;world models;cognitive maps;continuous attractors;RNNs;transformers

applications to neuroscience & cognitive science

3;6;6;6;8

4;4;4;2;4

2;3;3;3;3

1;3;3;3;3

2;4;3;3;3

5.8

3.6

2.8

2.6

3

-0.0625

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 2 }, "contribution": { "value":...

yVQcr4qjD6

Robust Function-Calling for On-Device Language Model via Function Masking

main

Active

language models;function-calling models

foundation or frontier models, including LLMs

5;5;6;8;8

3;4;4;4;3

2;3;3;4;3

2;3;3;3;4

3;2;3;3;3

6.4

3.6

3

2.8

-0.060193

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yVVzaRE8Pi

You Know What I'm Saying: Jailbreak Attack via Implicit Reference

main

Active

Adversarial attacks;Jailbreak;Security;Black box;LLM;Alignment;Cross-Modality alignment;in context learning

alignment, fairness, safety, privacy, and societal considerations

3;3;5;6

3;4;4;4

2;2;2;3

3;3;2;3

4.25

3.75

2.25

2.75

0.555556

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yVeNBxwL5W

MRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers

main

Active

Fast Sampler;Mean Reverting Diffusion

generative models

5;6;8;8

3;4;5;3

3;4;3;3

3;3;3;3

3;4;4;3

6.75

3.75

3.25

3

3.5

0.406181

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yWoV4Ca6ji

Towards Understanding the Universality of Transformers for Next-Token Prediction

main

Active

Transformers;In-Context Learning;Deep Learning Theory

learning theory

3;3;5;6;6

3;4;3;2;4

3;3;3;3;3

3;2;3;3;3

2;3;4;3;3

4.6

3.2

3

2.8

3

-0.315244

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

yXCTDhZDh6

Point-SAM: Promptable 3D Segmentation Model for Point Clouds

main

Active

3D vision;promptable segmentation;point cloud segmentation

applications to computer vision, audio, language, and other modalities

5;5;5;6;6;6

5;4;3;5;4;4

2;3;3;3;3;3

2;3;2;2;3;3

3;3;3;3;2;2

5.5

4.166667

2.833333

2.5

2.666667

0.242536

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yYQLvofQ1k

Two Heads Are Better Than One: A Multi-Agent System Has the Potential to Improve Scientific Idea Generation

main

Active

Large Language Model;Multi-agent System;Collaboration Strategy;Automatic Scientific Discovery;Science of Science

applications to robotics, autonomy, planning

3;3;5;5

5;3;3;4

2;2;3;3

2;2;2;3

2;3;3;3

4

3.75

2.5

2.25

2.75

-0.301511

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yYZbZGo4ei

Accelerating Diffusion Transformers with Token-wise Feature Caching

main

Active

Diffusion Models;Image generation;Video generation;Model Acceleration;Feature Cache

generative models

5;5;6;6

4;5;4;4

3;3;3;3

3;2;2;3

3;3;3;3

5.5

4.25

3

2.5

3

-0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

yYxEFC3Ep4

Where Do Images Come From? Analyzing Captions to Geographically Profile Datasets

main

Active

geographical profiling;dataset auditing

datasets and benchmarks

3;5;5

4;3;3

3;3;3

2;2;2

4;3;3

4.333333

3.333333

3

2

3.333333

-1

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

yZ7sn9pyqb

Generative Monoculture in Large Language Models

main

Active

monoculture;bias;alignment

foundation or frontier models, including LLMs

1;3;5;6;8

5;3;4;4;4

2;2;2;3;3

4;2;2;3;3

3;4;2;3;3

4.6

4

2.4

2.8

3

-0.261712

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yZdPpKTO9R

Decision-making with speculative opponent model-aided value function factorization

main

Active

Decision making;Cooperative multi-agent reinforcement learning;

reinforcement learning

3;5;5;5

4;3;3;4

2;3;3;2

1;2;2;2

2;3;2;2

4.5

3.5

2.5

1.75

2.25

-0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yaOe2xBcLC

NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models

main

Active

Hallucination Mitigation;Large Language Models;TruthfulQA;Representation Editing;Multiple Choice Question Answering;Attention Heads

foundation or frontier models, including LLMs

3;5;8

4;4;3

2;3;3

2;2;3

3;4;4

5.333333

3.666667

2.666667

2.333333

3.666667

-0.917663

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yaQbTAD2JJ

Language-Image Models with 3D Understanding

main

Active

Multi-modal Large Language Model with 3D Understanding; 3D Image Grounding from Image

foundation or frontier models, including LLMs

5;6;6;6

4;4;4;4

3;3;3;3

5.75

4

3

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yaR0hqaGbI

Hierarchical Demonstration Order Optimization for Many-shot In-Context Learning

main

Active

In-context learning;Demonstration Order Optimization

foundation or frontier models, including LLMs

1;3;5;8

3;3;4;2

1;2;2;4

1;2;2;3

1;2;3;3

4.25

3

2.25

2

2.25

-0.410152

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

yaqPf0KAlN

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models

main

Active

Mathematical Benchmark;LLM Evaluation;Olympic

datasets and benchmarks

5;5;8;8

4;3;4;3

2;3;3;3

2;2;3;3

3;2;3;3

6.5

3.5

2.75

2.5

2.75

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

yarlMUJePB

Energy-Based Discrete Mask Approximation for 3D Molecular Graph Explanation

main

Active

3D Graph Explanation;3D Molecular Graphs;Energy-Based Models;Discrete Masks

applications to physical sciences (physics, chemistry, biology, etc.)

3;3;3;3;5

4;3;4;3;4

1;1;3;3;3

2;2;2;2;2

2;2;3;2;3

3.4

3.6

2.2

2

2.4

0.408248

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

yatNm6A6sR

OSM+: Cloud-native Open Street Map Data System for City-wide Experiments

main

Active

Global dataset;Traffic prediction;Traffic policy control

datasets and benchmarks

3;3;3;5

3;4;5;4

2;2;3;2

1;2;2;2

2;3;3;2

3.5

4

2.25

1.75

2.5

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

yb4QE6b22f

Scaling Wearable Foundation Models

main

Active

Health;Foundation Model;Scaling

foundation or frontier models, including LLMs

5;5;6;8;8

4;5;4;5;3

3;2;3;4;3

2;2;3;4;4

3;3;4;4;3

6.4

4.2

3

3.4

-0.275839

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

ybFRoGxZjs

ThermalGaussian: Thermal 3D Gaussian Splatting

main

Active

3D reconstruction; Thermal fild reconstruction; 3D Computer Vision; Machine learning approaches;

applications to computer vision, audio, language, and other modalities

3;5;6;8;8

4;4;4;3;4

3;3;3;3;3

2;2;2;3;4

3;2;3;3;3

6

3.8

3

2.6

2.8

-0.527046

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

ybWOYIuFl6

BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy Matching

main

Active

neural sampler;Boltzmann distribution;diffusion model

generative models

3;3;8;8

4;4;4;4

3;2;3;4

2;2;3;3

3;3;3;3

5.5

4

3

2.5

3

0

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

ybfmpJiKXX

AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements

main

Active

natural language processing;modern slavery;corporate statements;benchmark;text extraction;large language models

datasets and benchmarks

3;6;6

4;4;3

2;3;3

1;3;2

5

3.666667

2.666667

2

-0.5

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 3 }, "contribution": { "value":...

yc38vnXhTh

Towards Human-like Virtual Beings: Simulating Human Behavior in 3D Scenes

main

Active

Agent AI;3D Humanoid;Large Language Model;Deep Learning

applications to computer vision, audio, language, and other modalities

3;5;5;5

3;3;4;4

2;3;2;2

1;3;2;2

2;2;3;2

4.5

3.5

2.25

2

2.25

0.57735

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 4 }, "contribution": { "value":...

ydH8nU5csJ

DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM

main

Withdraw

Visual Language Tracking;Video Understanding;Large Language Model

datasets and benchmarks

Xuchen Li;Shiyu Hu;Xiaokun Feng;Dailing Zhang;Meiqi Wu;Jing Zhang;Kaiqi Huang

~Xuchen_Li1;~Shiyu_Hu1;~Xiaokun_Feng1;~Dailing_Zhang2;~Meiqi_Wu2;~Jing_Zhang47;~Kaiqi_Huang1

3;5;5;5;5

5;3;3;4;3

3;3;3;3;2

4.6

3.6

2.8

-0.875

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": null, "code_of_ethics": null, "comment": null, "confidence": null, "contribution": null, "desk_reject_comments": null, "details_of_ethi...

ydREOIttdC

Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting

main

Active

Class-Incremental Learning;Federated Learning;Global Forgetting;Local Forgetting.

other topics in machine learning (i.e., none of the above)

3;5;5;6

4;4;5;3

2;3;2;3

2;2;2;2

2;3;2;3

4.75

4

2.5

2

2.5

-0.324443

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...

ydlDRUuGm9

On the expressiveness and spectral bias of KANs

main

Active

Kolmogorov-Arnold Network;Spectral Bias;Approximation Theory

learning theory

3;6;6;8

5;2;2;4

2;3;3;3

1;2;3;3

2;2;3;3

5.75

3.25

2.75

2.25

2.5

-0.404226

[ { "TLDR": null, "_bibtex": null, "abstract": null, "anonymous_url": null, "authorids": null, "authors": null, "code_of_conduct": { "value": "Yes" }, "code_of_ethics": null, "comment": null, "confidence": { "value": 5 }, "contribution": { "value":...