Most Cited 2025 "llm explanations" Papers

Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation

Mingyuan Zhou, Zhendong Wang, Huangjie Zheng et al.

Rethinking U-Net: Task-Adaptive Mixture of Skip Connections for Enhanced Medical Image Segmentation

Zichen Luo, Xinshan Zhu, Lan Zhang et al.

Step-Calibrated Diffusion for Biomedical Optical Image Restoration

Yiwei Lyu, Sung Jik Cha, Cheng Jiang et al.

CAKE: Category Aware Knowledge Extraction for Open-Vocabulary Object Detection

Shiyuan Ma, Donglin Qian, Kai Ye et al.

Plato: Plan to Efficient Decode for Large Language Model Inference

Shuowei Jin, Xueshen Liu, Yongji Wu et al.

Black-Box Test-Time Prompt Tuning for Vision-Language Models

Fan'an Meng, Chaoran Cui, Hongjun Dai et al.

Learn Singularly Perturbed Solutions via Homotopy Dynamics

Chuqi CHEN, Yahong Yang, Yang Xiang et al.

Distilling Dataset into Neural Field

Donghyeok Shin, HeeSun Bae, Gyuwon Sim et al.

SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems

Patrick Emami, Zhaonan Li, Saumya Sinha et al.

Adaptive Dual-domain Learning for Underwater Image Enhancement

Lintao Peng, Liheng Bian

SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation

Shi-Feng Peng, Guolei Sun, Yong Li et al.

Sable: a Performant, Efficient and Scalable Sequence Model for MARL

Omayma Mahjoub, Sasha Abramowitz, Ruan de Kock et al.

Semi-supervised 3D Semantic Scene Completion with 2D Vision Foundation Model Guidance

Duc-Hai Pham, Duc-Dung Nguyen, Anh Pham et al.

Unsupervised Domain Adaptive Person Search via Dual Self-Calibration

Linfeng Qi, Huibing Wang, Jiqing Zhang et al.

Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers

Omer Sahin Tas, Royden Wagner

DCT-CryptoNets: Scaling Private Inference in the Frequency Domain

Arjun Roy, Kaushik Roy

On Understanding Attention-Based In-Context Learning for Categorical Data

Aaron Wang, William Convertino, Xiang Cheng et al.

ADHMR: Aligning Diffusion-based Human Mesh Recovery via Direct Preference Optimization

Wenhao Shen, Wanqi Yin, Xiaofeng Yang et al.

ChemAgent: Self-updating Memories in Large Language Models Improves Chemical Reasoning

Xiangru Tang, Tianyu Hu, Muyang Ye et al.

Reassessing How to Compare and Improve the Calibration of Machine Learning Models

Muthu Chidambaram, Rong Ge

Enhancing Pre-trained Representation Classifiability can Boost its Interpretability

Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits

Ashish Khisti, MohammadReza Ebrahimi, Hassan Dbouk et al.

Understanding Model Ensemble in Transferable Adversarial Attack

Wei Yao, Zeliang Zhang, Huayi Tang et al.

3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous Driving

Boyi Sun, Yuhang Liu, Xingxia Wang et al.

Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors

Jing Huang, Junyi Tao, Thomas Icard et al.

An Online Learning Theory of Trading-Volume Maximization

Tommaso Cesari, Roberto Colomboni

More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding

Yuan Tang, Xu Han, Xianzhi Li et al.

Score-based Self-supervised MRI Denoising

Jiachen Tu, Yaokun Shi, Fan Lam

Watch Video, Catch Keyword: Context-aware Keyword Attention for Moment Retrieval and Highlight Detection

Sung Jin Um, Dongjin Kim, Sangmin Lee et al.

Position: Contextual Integrity is Inadequately Applied to Language Models

Yan Shvartzshnaider, Vasisht Duddu

Information Theoretic Text-to-Image Alignment

Chao Wang, Giulio Franzese, alessandro finamore et al.

Stem-OB: Generalizable Visual Imitation Learning with Stem-Like Convergent Observation through Diffusion Inversion

Kaizhe Hu, Zihang Rui, Yao He et al.

Towards Efficient Object Re-Identification with a Novel Cloud-Edge Collaborative Framework

Chuanming Wang, Yuxin Yang, Mengshi Qi et al.

Kernel-based Optimally Weighted Conformal Time-Series Prediction

Jonghyeok Lee, Chen Xu, Yao Xie

Efficient Self-Supervised Video Hashing with Selective State Spaces

Jinpeng Wang, Niu Lian, Jun Li et al.

Tensor Product Neural Networks for Functional ANOVA Model

Seokhun Park, Insung Kong, yongchan Choi et al.

Debiased Distillation for Consistency Regularization

Lu Wang, Liuchi Xu, Xiong Yang et al.

Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues

Mingshen Wang, Zhao Zhang, Feng Li et al.

MAST: model-agnostic sparsified training

Yury Demidovich, Grigory Malinovsky, Egor Shulgin et al.

Visual Abstraction: A Plug-and-Play Approach for Text-Visual Retrieval

Guofeng Ding, Yiding Lu, Peng Hu et al.

PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation

Albert Gong, Kamilė Stankevičiūtė, Chao Wan et al.

TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification

Xiao Wang, Lekai Liu, Bin Yang et al.

Fine-tuning can Help Detect Pretraining Data from Large Language Models

Hengxiang Zhang, Songxin Zhang, Bingyi Jing et al.

GCD: Advancing Vision-Language Models for Incremental Object Detection via Global Alignment and Correspondence Distillation

Xu Wang, Zilei Wang, Zihan Lin

Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples

Yeyuan Wang, Dehong Gao, Lei Yi et al.

HoneypotNet: Backdoor Attacks Against Model Extraction

Yixu Wang, Tianle Gu, Yan Teng et al.

Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization

Yury Demidovich, Petr Ostroukhov, Grigory Malinovsky et al.

Flopping for FLOPs: Leveraging Equivariance for Computational Efficiency

Georg Bökman, David Nordström, Fredrik Kahl

Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness

Qi Zhang, Yifei Wang, Jingyi Cui et al.

From Next-Token to Mathematics: The Learning Dynamics of Mathematical Reasoning in Language Models

Shubhra Mishra, Gabriel Poesia, Noah Goodman

Statistical Hypothesis Testing for Auditing Robustness in Language Models

Paulius Rauba, Qiyao Wei, Mihaela van der Schaar

Boosting Multiple Views for pretrained-based Continual Learning

Quyen Tran, Tung Lam Tran, Khanh Doan et al.

Realistic Noise Synthesis with Diffusion Models

Qi Wu, Mingyan Han, Ting Jiang et al.

Learnable Spatial-Temporal Positional Encoding for Link Prediction

Katherine Tieu, Dongqi Fu, Zihao Li et al.

ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters

Xunzhi Xiang, Haiwei Xue, Zonghong Dai et al.

Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video Retrieval

Jian Xiao, Zhenzhen Hu, Jia Li et al.

A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image Segmentation

Feilong Xu, Feiyang Yang, Xiongfei Li et al.

Transformers Handle Endogeneity in In-Context Linear Regression

Haodong Liang, Krishna Balasubramanian, Lifeng Lai

Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference

Ke Yi, Zengke Liu, jianwei zhang et al.

Can Performant LLMs Be Ethical? Quantifying the Impact of Web Crawling Opt-Outs

Dongyang Fan, Vinko Sabolčec, Matin Ansaripour et al.

Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization

Sascha Marton, Tim Grams, Florian Vogt et al.

Data-Centric Human Preference with Rationales for Direct Preference Alignment

Hoang Anh Just, Ming Jin, Anit Kumar Sahu et al.

PlanLLM: Video Procedure Planning with Refinable Large Language Models

Dejie Yang, Zijing Zhao, Yang Liu

Conformal Tail Risk Control for Large Language Model Alignment

Catherine Chen, Jingyan Shen, Xinyu Yang et al.

EvalAgents: Discovering Implicit Evaluation Criteria from the Web

Manya Wadhwa, Zayne Rea Sprague, Chaitanya Malaviya et al.

Overcoming Non-monotonicity in Transducer-based Streaming Generation

Zhengrui Ma, Yang Feng, Min zhang

Group Downsampling with Equivariant Anti-aliasing

Md Ashiqur Rahman, Raymond A. Yeh

Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment

Minh-Quan Le, Gaurav Mittal, Tianjian Meng et al.

API Pack: A Massive Multi-Programming Language Dataset for API Call Generation

Gavin (Zhen) Guo, Adriana Meza Soria, Wei Sun et al.

Single Image Rolling Shutter Removal with Diffusion Models

Zhanglei Yang, Haipeng Li, Mingbo Hong et al.

Shh, don't say that! Domain Certification in LLMs

Cornelius Emde, Alasdair Paren, Preetham Arvind et al.

Density estimation with LLMs: a geometric investigation of in-context learning trajectories

Toni Liu, Nicolas Boulle, Raphaël Sarfati et al.

Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision

Kangsheng Yin, Quan Liu, Xuelin Shen et al.

SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming

Hong-Ming Chiu, Hao Chen, Huan Zhang et al.

RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning

Kanghoon Yoon, Kibum Kim, Jaehyeong Jeon et al.

Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Model Using Implicit Feedback from Pre-training Demonstrations

Thomas Tian, Kratarth Goel

Overcoming Vocabulary Constraints with Pixel-level Fallback

Jonas F. Lotz, Hendra Setiawan, Stephan Peitz et al.

PredGen: Accelerated Inference of Large Language Models through Input-Time Speculation for Real-Time Speech Interaction

Shufan Li, Aditya Grover

Lasso Bandit with Compatibility Condition on Optimal Arm

Harin Lee, Taehyun Hwang, Min-hwan Oh

When, Where and Why to Average Weights?

Niccolò Ajroldi, Antonio Orvieto, Jonas Geiping

Gaze Label Alignment: Alleviating Domain Shift for Gaze Estimation

Guanzhong Zeng, Jingjing Wang, Zefu Xu et al.

To Clip or not to Clip: the Dynamics of SGD with Gradient Clipping in High-Dimensions

Noah Marshall, Ke Liang Xiao, Atish Agarwala et al.

What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models

Ahmed Imtiaz Humayun, Ibtihel Amara, Cristina Nader Vasconcelos et al.

DSRC: Learning Density-Insensitive and Semantic-Aware Collaborative Representation Against Corruptions

Jingyu Zhang, Yilei Wang, Lang Qian et al.

Always Tell Me The Odds: Fine-grained Conditional Probability Estimation

Liaoyaqi Wang, Zhengping Jiang, Anqi Liu et al.

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems

Arya Fayyazi, Mehdi Kamal, Massoud Pedram

Learning curves theory for hierarchically compositional data with power-law distributed features

Francesco Cagnetta, Hyunmo Kang, Matthieu Wyart

Regulatory DNA Sequence Design with Reinforcement Learning

Zhao Yang, Bing Su, Chuan Cao et al.

Enhancing Implicit Neural Representations via Symmetric Power Transformation

Weixiang Zhang, Shuzhao Xie, Chengwei Ren et al.

Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding

Wenbo Zhang, Lu Zhang, Ping Hu et al.

Exact risk curves of signSGD in High-Dimensions: quantifying preconditioning and noise-compression effects

Kevin Xiao, Noah Marshall, Atish Agarwala et al.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks

Taoran Fang, Tianhong Gao, Chunping Wang et al.

Projection Pursuit Density Ratio Estimation

Meilin Wang, Wei Huang, Mingming Gong et al.

ImProver: Agent-Based Automated Proof Optimization

Riyaz Ahuja, Jeremy Avigad, Prasad Tetali et al.

SentenceKV: Efficient LLM Inference via Sentence-Level Semantic KV Caching

Yuxuan Zhu, Ali Falahati, David H. Yang et al.

Cross-PCR: A Robust Cross-Source Point Cloud Registration Framework

Guiyu Zhao, Zhentao Guo, Zewen Du et al.

Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning

Chongjie Si, Xuehui Wang, Xue Yang et al.

Nested Expectations with Kernel Quadrature

Zonghao Chen, Masha Naslidnyk, Francois-Xavier Briol

Aligned Multi Objective Optimization

Yonathan Efroni, Ben Kretzu, Daniel Jiang et al.

Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling

Jiawei Xu, Rui Yang, Shuang Qiu et al.

Unlocking Global Optimality in Bilevel Optimization: A Pilot Study

Quan Xiao, Tianyi Chen

Erasing Concept Combination from Text-to-Image Diffusion Model

hongyi nie, Quanming Yao, Yang Liu et al.

CALM: Consensus-Aware Localized Merging for Multi-Task Learning

Kunda Yan, Min Zhang, Sen Cui et al.

Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration

Yunshuai Zhou, Junbo Qiao, Jincheng Liao et al.

Correlation Clustering Beyond the Pivot Algorithm

Soheil Behnezhad, Moses Charikar, Vincent Cohen-Addad et al.

SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs

Shibo Jie, Yehui Tang, Kai Han et al.

Thin-Plate Spline-based Interpolation for Animation Line Inbetweening

Tianyi Zhu, Wei Shang, Dongwei Ren

On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery

Renpu Liu, Ruida Zhou, Cong Shen et al.

Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models

Chuan Liu, Chunshu Wu, shihui cao et al.

Generalizing Reasoning Problems to Longer Lengths

Changnan Xiao, Bing Liu

Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation

Jintao Tong, Ran Ma, Yixiong Zou et al.

G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration

Samuel Holt, Max Ruiz Luyten, Antonin Berthon et al.

Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery

Paris Giampouras, HanQin Cai, Rene Vidal

Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models

Jung Hyun Lee, June Yong Yang, Byeongho Heo et al.

AutoStep: Locally adaptive involutive MCMC

Tiange Liu, Nikola Surjanovic, Miguel Biron-Lattes et al.

PABBO: Preferential Amortized Black-Box Optimization

Xinyu Zhang, Daolang Huang, Samuel Kaski et al.

QUDsim: Quantifying Discourse Similarities in LLM-Generated Text

Ramya Namuduri, Yating Wu, Anshun Asher Zheng et al.

Improving the Lower Bound in Branch-and-Bound Algorithms for MaxSAT

Shuolin Li, Chu-Min Li, Jordi Coll et al.

Search Strategy Generation for Branch and Bound Using Genetic Programming

Gwen Maudet, Grégoire Danoy

Transformer Meets Twicing: Harnessing Unattended Residual Information

Laziz Abdullaev, Tan Nguyen

Improving Diversity in Language Models: When Temperature Fails, Change the Loss

Alexandre Verine, Florian Le Bronnec, Kunhao Zheng et al.

DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction

Weijun Chen, Yanze Wang

Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations

Takashi Furuya, Koichi Taniguchi, Satoshi Okuda

Fast Large Language Model Collaborative Decoding via Speculation

Jiale Fu, Yuchu Jiang, Junkai Chen et al.

Neural Reasoning for Sure Through Constructing Explainable Models

Tiansi Dong, Mateja Jamnik, Pietro Liò

BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation

Qile Fan, Penghang Yu, Zhiyi Tan et al.

True Multimodal In-Context Learning Needs Attention to the Visual Context

Shuo Chen, Jianzhe Liu, Zhen Han et al.

Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs

Junjie Huang, Jiarui Qin, Yong Yu et al.

Meta-Dynamical State Space Models for Integrative Neural Data Analysis

Ayesha Vermani, Josue Nassar, Hyungju Jeon et al.

Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning

Mahavir Dabas, Si Chen, Charles Fleming et al.

RankSHAP: Shapley Value Based Feature Attributions for Learning to Rank

Tanya Chowdhury, Yair Zick, James Allan

NextBestPath: Efficient 3D Mapping of Unseen Environments

Shiyao Li, Antoine Guedon, Clémentin Boittiaux et al.

HI-DR: Exploiting Health Status-Aware Attention and an EHR Graph+ for Effective Medication Recommendation

Taeri Kim, Jiho Heo, Hyunjoon Kim et al.

MeshMask: Physics-Based Simulations with Masked Graph Neural Networks

Paul Garnier, Vincent Lannelongue, Jonathan Viquerat et al.

Revealing and Mitigating Over-Attention in Knowledge Editing

Pinzheng Wang, Zecheng Tang, Keyan Zhou et al.

EC-Diffuser: Multi-Object Manipulation via Entity-Centric Behavior Generation

Carl Qi, Dan Haramati, Tal Daniel et al.

ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data

Zhenyu Lei, Yushun Dong, Jundong Li et al.

Direct Distributional Optimization for Provable Alignment of Diffusion Models

Ryotaro Kawata, Kazusato Oko, Atsushi Nitanda et al.

Distribution-Consistency-Guided Multi-modal Hashing

Jin-Yu Liu, Xian-Ling Mao, Tian-Yi Che et al.

Coherency Improved Explainable Recommendation via Large Language Model

Shijie Liu, Ruixin Ding, Weihai Lu et al.

Dataset Ownership Verification in Contrastive Pre-trained Models

Yuechen Xie, Jie Song, Mengqi Xue et al.

Gravity-Bench-v1: A Benchmark on Gravitational Physics Discovery for Agents

Nolan Koblischke, Hyunseok Jang, Kristen Menou et al.

RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation

Zijin Liu, Xiang Zhao, You Song

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning

Jiashun Liu, Johan Obando-Ceron, Pablo Samuel Castro et al.

Communicating Activations Between Language Model Agents

Vignav Ramesh, Kenneth Li

Generalization and Robustness of the Tilted Empirical Risk

Gholamali Aminian, Amir R. Asadi, Tian Li et al.

Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints

Yash Sinha, Murari Mandal, Mohan Kankanhalli

UniFORM: Towards Unified Framework for Anomaly Detection on Graphs

Chuancheng Song, Xixun Lin, Hanyang Shen et al.

Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics

Li Sun, Ziheng Zhang, Zixi Wang et al.

Rethinking Multilingual Continual Pretraining: Data Mixing for Adapting LLMs Across Languages and Resources

Zihao Li, Shaoxiong Ji, Hengyu Luo et al.

ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization

Hee Suk Yoon, Eunseop Yoon, Mark Hasegawa-Johnson et al.

Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation

Tobias Leemann, Periklis Petridis, Giuseppe Vietri et al.

Insights from the Inverse: Reconstructing LLM Training Goals Through Inverse Reinforcement Learning

Jared Joselowitz, Ritam Majumdar, Arjun Jagota et al.

Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes

Zhuocheng Gong, Jian Guan, Wei Wu et al.

NegMerge: Sign-Consensual Weight Merging for Machine Unlearning

Hyo Seo Kim, Dongyoon Han, Junsuk Choe

Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning

Md Yousuf Harun, Jhair Gallardo, Christopher Kanan

Quantifying Fairness in LLMs Beyond Tokens: A Semantic and Statistical Perspective

Weijie Xu, Yiwen Wang, Chi Xue et al.

Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation

Paulo Cavalin, Pedro H. Domingues, Claudio Pinhanez

Disentangling Tabular Data Towards Better One-Class Anomaly Detection

Jianan Ye, Zhaorui Tan, Yijie Hu et al.

Efficient and Accurate Explanation Estimation with Distribution Compression

Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl et al.

Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs

Sergey Troshin, Wafaa Mohammed, Yan Meng et al.

CoT4Rec: Revealing User Preferences Through Chain of Thought for Recommender Systems

Weiqi Yue, Yuyu Yin, Xin Zhang et al.

Exploring The Loss Landscape Of Regularized Neural Networks Via Convex Duality

Sungyoon Kim, Aaron Mishkin, Mert Pilanci

L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression

Junxuan Zhang, Zhengxue Cheng, Yan Zhao et al.

Controlling Large Language Model with Latent Action

Chengxing Jia, Ziniu Li, Pengyuan Wang et al.

Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification

Zijie Zhou, Zhaoqi Lu, Xuekai Wei et al.

Chip Placement with Diffusion Models

Vint Lee, Minh Nguyen, Leena Elzeiny et al.

Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL

Qin-Wen Luo, Ming-Kun Xie, Ye-Wen Wang et al.

MamKO: Mamba-based Koopman operator for modeling and predictive control

Zhaoyang Li, Minghao Han, Xunyuan Yin

Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation

Bowen Zheng, Tianming Yang

Fair Division with Market Values

Siddharth Barman, Soroush Ebadian, Mohamad Latifian et al.

Product of Experts with LLMs: Boosting Performance on ARC Is a Matter of Perspective

Daniel Franzen, Jan Disselhoff, David Hartmann

The Value of Recall in Extensive-Form Games

Ratip Emin Berker, Emanuel Tewolde, Ioannis Anagnostides et al.

Neural Solver Selection for Combinatorial Optimization

Chengrui Gao, Haopu Shang, Ke Xue et al.

Every Bit Helps: Achieving the Optimal Distortion with a Few Queries

Soroush Ebadian, Nisarg Shah

Improved Maximin Share Approximations for Chores by Bin Packing

Jugal Garg, Xin Huang, Erel Segal-Halevi

Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment

Yuang Cai, Yuyu Yuan, Jinsheng Shi et al.

Learning to engineer protein flexibility

Petr Kouba, Joan Planas-Iglesias, Jiri Damborsky et al.

CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations

Haotian Si, Changhua Pei, Jianhui LI et al.

Optimal Bounds for Dissatisfaction in Perpetual Voting

Alexander Kozachinskiy, Alexander Shen, Tomasz Steifer

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

Laixi Shi, Jingchu Gai, Eric Mazumdar et al.

Reward Modeling with Ordinal Feedback: Wisdom of the Crowd

Shang Liu, Yu Pan, Guanting Chen et al.

LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression Comprehension

Amaia Cardiel, Eloi Zablocki, Elias Ramzi et al.

Commute Graph Neural Networks

Wei Zhuo, Han Yu, Guang Tan et al.

Computing Game Symmetries and Equilibria That Respect Them

Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld et al.

Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources

Vibhhu Sharma, Bryan Wilder

Implicit degree bias in the link prediction task

Rachith Aiyappa, Xin Wang, Munjung Kim et al.

Gap-Dependent Bounds for Federated $Q$-Learning

Haochen Zhang, Zhong Zheng, Lingzhou Xue

ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking

Rong Li, Tao Deng, Siwei Feng et al.

Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson–Romberg Extrapolation

Marina Sheshukova, Denis Belomestny, Alain Oliviero Durmus et al.

Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces

Yinxu Tang, Stylianos Loukas Vasileiou, William Yeoh

Correcting Large Language Model Behavior via Influence Function

Han Zhang, Zhuo Zhang, Yi Zhang et al.

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner

Aizierjiang Aiersilan

On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions

Omer Madmon, Idan Pipano, Itamar Jacob Reinman et al.

Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning

Wesley Suttle, Aamodh Suresh, Carlos Nieto-Granda

Towards Audio-Visual Navigation in Noisy Environments: A Large-Scale Benchmark Dataset and an Architecture Considering Multiple Sound-Sources

Zhanbo Shi, Lin Zhang, Linfei Li et al.

NaviFormer: A Spatio-Temporal Context-Aware Transformer for Object Navigation

Wei Xie, Haobo Jiang, Yun Zhu et al.

Clustering Properties of Self-Supervised Learning

Xi Weng, Jianing An, Xudong Ma et al.

DPCL-Diff：Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning

Yukun Cao, LIsheng Wang, Luobin Huang

A Practical Approach to Causal Inference over Time

Martina Cinquini, Isacco Beretta, Salvatore Ruggieri et al.