Most Cited 2025 "experiment design" Papers

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection

Karish Grover, Geoff Gordon, Christos Faloutsos

Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback

Qiwei Di, Jiafan He, Quanquan Gu

Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning

Rongzhe Wei, Mufei Li, Mohsen Ghassemi et al.

Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction

Lars van der Laan, Ahmed Alaa

SPRI: Aligning Large Language Models with Context-Situated Principles

Hongli Zhan, Muneeza Azmat, Raya Horesh et al.

Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification

Sicong Li, Qianqian Xu, Zhiyong Yang et al.

TRELLIS: Learning to Compress Key-Value Memory in Attention Models

Mahdi Karami, Ali Behrouz, Praneeth Kacham et al.

Both Direct and Indirect Evidence Contribute to Dative Alternation Preferences in Language Models

Qing Yao, Kanishka Misra, Leonie Weissweiler et al.

Steerable Transformers for Volumetric Data

Soumyabrata Kundu, Risi Kondor

Sub-Sequential Physics-Informed Learning with State Space Model

Chenhui Xu, Dancheng Liu, Yuting Hu et al.

Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings

Rong-Xi Tan, Ming Chen, Ke Xue et al.

X-Hacking: The Threat of Misguided AutoML

Rahul Sharma, Sumantrak Mukherjee, Andrea Šipka et al.

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

Sergey Troshin, Wafaa Mohammed, Yan Meng et al.

When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need

Ziming Hong, Runnan Chen, Zengmao Wang et al.

Matryoshka Quantization

Pranav Nair, Puranjay Datta, Jeff Dean et al.

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

Weijie Xu, Yiwen Wang, Chi Xue et al.

Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension

Yijun Dong, Yicheng Li, Yunai Li et al.

Policy Design for Two-sided Platforms with Participation Dynamics

Haruka Kiyohara, Fan Yao, Sarah Dean

Parallel Simulation for Log-concave Sampling and Score-based Diffusion Models

Huanjian Zhou, Masashi Sugiyama

PANDAS: Improving Many-shot Jailbreaking via Positive Affirmation, Negative Demonstration, and Adaptive Sampling

Avery Ma, Yangchen Pan, Amir-massoud Farahmand

Provably Efficient RL for Linear MDPs under Instantaneous Safety Constraints in Non-Convex Feature Spaces

Amirhossein Roknilamouki, Arnob Ghosh, Ming Shi et al.

PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models

Fanmeng Wang, Wentao Guo, Qi Ou et al.

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

Shuo Chen, Jianzhe Liu, Zhen Han et al.

CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation

Minghao Fu, Guo-Hua Wang, Liangfu Cao et al.

Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction

Harit Vishwakarma, Alan Mishler, Thomas Cook et al.

Certification for Differentially Private Prediction in Gradient-Based Training

Matthew Wicker, Philip Sosnin, Igor Shilov et al.

QUDsim: Quantifying Discourse Similarities in LLM-Generated Text

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

Representative Ranking for Deliberation in the Public Sphere

Manon Revel, Smitha Milli, Tyler Lu et al.

When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series

Min-Yeong Park, Won-Jeong Lee, Seong Tae Kim et al.

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

Wenhao Shen, Wanqi Yin, Xiaofeng Yang et al.

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

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

Understanding Model Ensemble in Transferable Adversarial Attack

Wei Yao, Zeliang Zhang, Huayi Tang et al.

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

Liaoyaqi Wang, Zhengping Jiang, Anqi Liu et al.

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning

Kyowoon Lee, Jaesik Choi

LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models

Fanfei Li, Thomas Klein, Wieland Brendel et al.

Joint Graph Rewiring and Feature Denoising via Spectral Resonance

Jonas Linkerhägner, Cheng Shi, Ivan Dokmanić

Graph-Based Algorithms for Diverse Similarity Search

Piyush Anand, Piotr Indyk, Ravishankar Krishnaswamy et al.

Gap-Dependent Bounds for Federated $Q$-Learning

Haochen Zhang, Zhong Zheng, Lingzhou Xue

Backdoor Attack on Propagation-based Rumor Detectors

Di Jin, Yujun Zhang, Bingdao Feng et al.

Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning

Armin Behnamnia, Gholamali Aminian, Alireza Aghaei et al.

SafeVid: Toward Safety Aligned Video Large Multimodal Models

Yixu Wang, Jiaxin Song, Yifeng Gao et al.

Riemann-based Multi-scale Attention Reasoning Network for Text-3D Retrieval

Wenrui Li, Wei Han, Yandu Chen et al.

UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation

Alexander Liu, Sang-gil Lee, Chao-Han Huck Yang et al.

Statistical Collusion by Collectives on Learning Platforms

Etienne Gauthier, Francis Bach, Michael Jordan

Implicit degree bias in the link prediction task

Rachith Aiyappa, Xin Wang, Munjung Kim et al.

PlanLLM: Video Procedure Planning with Refinable Large Language Models

Dejie Yang, Zijing Zhao, Yang Liu

Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization

Zichen Wang, Yaokun Ji, Jianing Tian et al.

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

Yury Demidovich, Petr Ostroukhov, Grigory Malinovsky et al.

MAST: model-agnostic sparsified training

Yury Demidovich, Grigory Malinovsky, Egor Shulgin et al.

On the Local Complexity of Linear Regions in Deep ReLU Networks

Niket Patel, Guido Montufar

ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics

Letian Chen, Nina Moorman, Matthew Gombolay

Commute Graph Neural Networks

Wei Zhuo, Han Yu, Guang Tan et al.

Divide-Solve-Combine: An Interpretable and Accurate Prompting Framework for Zero-shot Multi-Intent Detection

Libo Qin, Qiguang Chen, Jingxuan Zhou et al.

Learning Hierarchical Polynomials of Multiple Nonlinear Features

Hengyu Fu, Zihao Wang, Eshaan Nichani et al.

Step-Calibrated Diffusion for Biomedical Optical Image Restoration

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

Reward Modeling with Ordinal Feedback: Wisdom of the Crowd

Shang Liu, Yu Pan, Guanting Chen et al.

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

Laixi Shi, Jingchu Gai, Eric Mazumdar et al.

ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior

Zhongweiyang Xu, Xulin Fan, Zhong-Qiu Wang et al.

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

Haotian Si, Changhua Pei, Jianhui LI et al.

The KoLMogorov Test: Compression by Code Generation

Ori Yoran, Kunhao Zheng, Fabian Gloeckle et al.

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

Shiyuan Ma, Donglin Qian, Kai Ye et al.

Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data

Mohammad Hosseini, Maryam Shanechi

Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space

Max van Spengler, Pascal Mettes

A3D: Does Diffusion Dream about 3D Alignment?

Savva Ignatyev, Nina Konovalova, Daniil Selikhanovych et al.

Training-Free Message Passing for Learning on Hypergraphs

Bohan Tang, Zexi Liu, Keyue Jiang et al.

Best of Both Worlds: Advantages of Hybrid Graph Sequence Models

Ali Behrouz, Ali Parviz, Mahdi Karami et al.

Large Language Models Often Say One Thing and Do Another

Ruoxi Xu, Hongyu Lin, Xianpei Han et al.

Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks

Théophane Vallaeys, Matthew J Muckley, Jakob Verbeek et al.

Trajectory World Models for Heterogeneous Environments

Shaofeng Yin, Jialong Wu, Siqiao Huang et al.

STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning

Xiaoyu Zhang, Juan Zhai, Shiqing Ma et al.

Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes

Jesse He, Helen Jenne, Herman Chau et al.

Mental-Perceiver: Audio-Textual Multi-Modal Learning for Estimating Mental Disorders

Jinghui Qin, Changsong Liu, Tianchi Tang et al.

Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay

Ruiheng Liu, Jinyu Zhang, Yanqi Song et al.

Position: AI Scaling: From Up to Down and Out

Yunke Wang, Yanxi Li, Chang Xu

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

Paulo Cavalin, Pedro H. Domingues, Claudio Pinhanez

Contractive Dynamical Imitation Policies for Efficient Out-of-Sample Recovery

Amin Soleimani Abyaneh, Mahrokh Boroujeni, Hsiu-Chin Lin et al.

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

Mingyuan Zhou, Zhendong Wang, Huangjie Zheng et al.

Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound

David Boetius, Stefan Leue, Tobias Sutter

Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment

Yuang Cai, Yuyu Yuan, Jinsheng Shi et al.

Single-View Graph Contrastive Learning with Soft Neighborhood Awareness

Qingqiang Sun, Chaoqi Chen, Ziyue Qiao et al.

Point-Level Topological Representation Learning on Point Clouds

Vincent P. Grande, Michael Schaub

Neural Solver Selection for Combinatorial Optimization

Chengrui Gao, Haopu Shang, Ke Xue et al.

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

Daniel Franzen, Jan Disselhoff, David Hartmann

Expected Variational Inequalities

Brian Zhang, Ioannis Anagnostides, Emanuel Tewolde et al.

Solving Partial Differential Equations via Radon Neural Operator

Wenbin Lu, Yihan Chen, Junnan Xu et al.

Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates

Baozhen Wang, Xingye Qiao

Revisiting Interpolation for Noisy Label Correction

Yuanzhuo Xu, Xiaoguang Niu, Jie Yang et al.

Distilling Dataset into Neural Field

Donghyeok Shin, HeeSun Bae, Gyuwon Sim et al.

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

Bowen Zheng, Tianming Yang

PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction

Shangyu Chen, Zizheng Pan, Jianfei Cai 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.

Training-Free Dataset Pruning for Instance Segmentation

Yalun Dai, Lingao Xiao, Ivor Tsang et al.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity

Samir Khaki, Xiuyu Li, Junxian Guo et al.

Position: Lifetime tuning is incompatible with continual reinforcement learning

Golnaz Mesbahi, Parham Mohammad Panahi, Olya Mastikhina et al.

WEPO: Web Element Preference Optimization for LLM-based Web Navigation

Jiarun Liu, Jia Hao, Chunhong Zhang et al.

AssistanceZero: Scalably Solving Assistance Games

Cassidy Laidlaw, Eli Bronstein, Timothy Guo et al.

OvercookedV2: Rethinking Overcooked for Zero-Shot Coordination

Tobias Gessler, Tin Dizdarevic, Ani Calinescu et al.

Chip Placement with Diffusion Models

Vint Lee, Minh Nguyen, Leena Elzeiny et al.

BAMDP Shaping: a Unified Framework for Intrinsic Motivation and Reward Shaping

Aly Lidayan, Michael Dennis, Stuart Russell

Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English

Avinash Anand, Kritarth Prasad, Chhavi Kirtani et al.

Discovering Influential Neuron Path in Vision Transformers

Yifan Wang, Yifei Liu, Yingdong Shi et al.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions

Yihao Xue, Jiping Li, Baharan Mirzasoleiman

SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems

Patrick Emami, Zhaonan Li, Saumya Sinha et al.

Controlling Large Language Model with Latent Action

Chengxing Jia, Ziniu Li, Pengyuan Wang et al.

AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting

Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo et al.

MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces

Loris Gaven, Thomas Carta, Clément Romac et al.

Small Models are LLM Knowledge Triggers for Medical Tabular Prediction

Jiahuan Yan, Jintai Chen, Chaowen Hu et al.

AgentMixer: Multi-Agent Correlated Policy Factorization

Zhiyuan Li, Wenshuai Zhao, Lijun Wu et al.

No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs

Krzysztof Kacprzyk, Mihaela van der Schaar

Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models

Jeffrey Gu, Serena Yeung

The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation

Fredrik Carlsson, Fangyu Liu, Daniel Ward et al.

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

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

Efficiently Access Diffusion Fisher: Within the Outer Product Span Space

Fangyikang Wang, Hubery Yin, Shaobin Zhuang et al.

Improving the Statistical Efficiency of Cross-Conformal Prediction

Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers

Omer Sahin Tas, Royden Wagner

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

DCT-CryptoNets: Scaling Private Inference in the Frequency Domain

Arjun Roy, Kaushik Roy

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

Rong Li, Tao Deng, Siwei Feng et al.

Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising

Zikuan Li, Qiaoyun Wu, Jialin Zhang et al.

Conformal Prediction as Bayesian Quadrature

Jake Snell, Thomas Griffiths

ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language

Zhaoyue Sun, Jiazheng Li, Gabriele Pergola 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

Connecting Federated ADMM to Bayes

Siddharth Swaroop, Mohammad Emtiyaz Khan, Finale Doshi-Velez

Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics

Aleksandr Gushchin, Khaled Abud, Georgii Bychkov et al.

Enhancing Pre-trained Representation Classifiability can Boost its Interpretability

Non-stationary Diffusion For Probabilistic Time Series Forecasting

Weiwei Ye, Zhuopeng Xu, Ning Gui

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

Md Yousuf Harun, Jhair Gallardo, Christopher Kanan

PABBO: Preferential Amortized Black-Box Optimization

Xinyu Zhang, Daolang Huang, Samuel Kaski et al.

NegMerge: Sign-Consensual Weight Merging for Machine Unlearning

Hyo Seo Kim, Dongyoon Han, Junsuk Choe

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

Zhuocheng Gong, Jian Guan, Wei Wu et al.

SongEditor: Adapting Zero-Shot Song Generation Language Model as a Multi-Task Editor

Chenyu Yang, Shuai Wang, Hangting Chen et al.

StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models

Ya Jiang, Chuxiong Wu, Massieh Kordi Boroujeny et al.

Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs

Haoming Yang, Ke Ma, Xiaojun Jia et al.

Correcting Large Language Model Behavior via Influence Function

Han Zhang, Zhuo Zhang, Yi Zhang et al.

Explaining Decisions of Agents in Mixed-Motive Games

Maayan Orner, Oleg Maksimov, Akiva Kleinerman et al.

Computing Game Symmetries and Equilibria That Respect Them

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

Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical Limits

Ashish Khisti, MohammadReza Ebrahimi, Hassan Dbouk et al.

Quality over Quantity in Attention Layers: When Adding More Heads Hurts

Noah Amsel, Gilad Yehudai, Joan Bruna

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

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

TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation

Gwen Yidou-Weng, Benjie Wang, Guy Van den Broeck

Compute-Constrained Data Selection

Junjie Oscar Yin, Alexander Rush

Towards Scalable and Deep Graph Neural Networks via Noise Masking

Yuxuan Liang, Wentao Zhang, Zeang Sheng et al.

Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity Recognition

Jielong Tang, Zhenxing Wang, ZiYang Gong et al.

An Online Learning Theory of Trading-Volume Maximization

Tommaso Cesari, Roberto Colomboni

Optimal Bounds for Dissatisfaction in Perpetual Voting

Alexander Kozachinskiy, Alexander Shen, Tomasz Steifer

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

Aizierjiang Aiersilan

Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images

Yubo Wang, Jianting Tang, Liu et al.

Score-based Self-supervised MRI Denoising

Jiachen Tu, Yaokun Shi, Fan Lam

PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning

Chengxiang Huang, Bingyan Liu

Improved Maximin Share Approximations for Chores by Bin Packing

Jugal Garg, Xin Huang, Erel Segal-Halevi

Covered Forest: Fine-grained generalization analysis of graph neural networks

Antonis Vasileiou, Ben Finkelshtein, Floris Geerts et al.

Solving Multiagent Path Finding on Highly Centralized Networks

Foivos Fioravantes, Dušan Knop, Jan Matyáš Křišťan et al.

Information Theoretic Text-to-Image Alignment

Chao Wang, Giulio Franzese, alessandro finamore et al.

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

Soroush Ebadian, Nisarg Shah

Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment

Chengting Yu, Xiaochen Zhao, Lei Liu et al.

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

Kaizhe Hu, Zihang Rui, Yao He et al.

Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport

Mingyang Sun, Pengxiang Ding, Weinan Zhang et al.

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

Yuan Tang, Xu Han, Xianzhi Li et al.

SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models

Cansu Sancaktar, Christian Gumbsch, Andrii Zadaianchuk et al.

The Value of Recall in Extensive-Form Games

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

Enhancing Masked Time-Series Modeling via Dropping Patches

Tianyu Qiu, Yi Xie, Hao Niu et al.

Kernel-based Optimally Weighted Conformal Time-Series Prediction

Jonghyeok Lee, Chen Xu, Yao Xie

Relational Neurosymbolic Markov Models

Lennert De Smet, Gabriele Venturato, Luc De Raedt et al.

Generalization and Robustness of the Tilted Empirical Risk

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

Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined

Shizhe Hu, Binyan Tian, Weibo Liu et al.

Mufu: Multilingual Fused Learning for Low-Resource Translation with LLM

Zheng Wei Lim, Nitish Gupta, Honglin Yu et al.

Learning Neural Exposure Fields for View Synthesis

Michael Niemeyer, Fabian Manhardt, Marie-Julie Rakotosaona et al.

Adaptive $Q$-Network: On-the-fly Target Selection for Deep Reinforcement Learning

Théo Vincent, Fabian Wahren, Jan Peters et al.

Fair Division with Market Values

Siddharth Barman, Soroush Ebadian, Mohamad Latifian et al.

Affine Steerable Equivariant Layer for Canonicalization of Neural Networks

Yikang Li, Yeqing Qiu, Yuxuan Chen et al.

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

Hengxiang Zhang, Songxin Zhang, Bingyi Jing et al.

Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning

Le-Trung Nguyen, Aël Quélennec, Van-Tam Nguyen et al.

Transformer Learns Optimal Variable Selection in Group-Sparse Classification

Chenyang Zhang, Xuran Meng, Yuan Cao

Remove Symmetries to Control Model Expressivity and Improve Optimization

Liu Ziyin, Yizhou Xu, Isaac Chuang

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.

Communicating Activations Between Language Model Agents

Vignav Ramesh, Kenneth Li

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

Zijie Zhou, Zhaoqi Lu, Xuekai Wei et al.

Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection

Yue Hou, He Zhu, Ruomei Liu et al.

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

Chuanming Wang, Yuxin Yang, Mengshi Qi et al.

SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing

Chen Chen, Liangjin Zhao, Yuanchun He et al.

How Does Vision-Language Adaptation Impact the Safety of Vision Language Models?

Seongyun Lee, Geewook Kim, Jiyeon Kim et al.

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

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

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

Wei Xie, Haobo Jiang, Yun Zhu et al.

Explanation Bottleneck Models

Shin'ya Yamaguchi, Kosuke Nishida

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

Arya Fayyazi, Mehdi Kamal, Massoud Pedram

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

Nolan Koblischke, Hyunseok Jang, Kristen Menou et al.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code

Raghu Vamshi Hemadri, Jitendra Bhandari, Andre Nakkab et al.

ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques

Junhao Liu, Xin Zhang

TokenSwift: Lossless Acceleration of Ultra Long Sequence Generation

Tong Wu, Junzhe Shen, Zixia Jia et al.

DAWN: Dynamic Frame Avatar with Non-autoregressive Diffusion Framework for Talking head Video Generation

Hanbo Cheng, Limin Lin, Chenyu Liu et al.

Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness

Qi Zhang, Yifei Wang, Jingyi Cui et al.

AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries

Pengwei Liu, Pengkai Wang, Xingyu Ren et al.

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

Naveen Gupta, Medha Sawhney, Arka Daw et al.

Perceptual-GS: Scene-adaptive Perceptual Densification for Gaussian Splatting

Hongbi ZHOU, Zhangkai NI

An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems

Haoxiang Tian, Xingshuo Han, Guoquan Wu et al.

Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models

Shuoyuan Wang, Sharon Li, Hongxin Wei

Boosting Multiple Views for pretrained-based Continual Learning

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

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

Junxuan Zhang, Zhengxue Cheng, Yan Zhao 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.