Most Cited NEURIPS "negative learning" Papers

Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability

Eline M. Bovy, Caleb Probine, Marnix Suilen et al.

Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation

Shohei Enomoto

Differentially Private Relational Learning with Entity-level Privacy Guarantees

Yinan Huang, Haoteng Yin, Eli Chien et al.

Perception Encoder: The best visual embeddings are not at the output of the network

Daniel Bolya, Po-Yao Huang, Peize Sun et al.

Multi-Agent Debate for LLM Judges with Adaptive Stability Detection

Tianyu Hu, Zhen Tan, Song Wang et al.

Mechanistic Interpretability of RNNs emulating Hidden Markov Models

Elia Torre, Michele Viscione, Lucas Pompe et al.

Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement Learning

Younggyo Seo, Pieter Abbeel

Object-centric 3D Motion Field for Robot Learning from Human Videos

Zhao-Heng Yin, Sherry Yang, Pieter Abbeel

Planning without Search: Refining Frontier LLMs with Offline Goal-Conditioned RL

Joey Hong, Anca Dragan, Sergey Levine

Imitation Beyond Expectation Using Pluralistic Stochastic Dominance

Ali Farajzadeh, Danyal Saeed, Syed M Abbas et al.

Toward Artificial Palpation: Representation Learning of Touch on Soft Bodies

Zohar Rimon, Elisei Shafer, Tal Tepper et al.

Learned Prefix Caching for Efficient LLM Inference

Dongsheng Yang, Austin Li, Kai Li et al.

ModHiFi: Identifying High Fidelity predictive components for Model Modification

Dhruva Kashyap, Chaitanya Murti, Pranav K Nayak et al.

A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning

Anjie Liu, Jianhong Wang, Samuel Kaski et al.

REDOUBT: Duo Safety Validation for Autonomous Vehicle Motion Planning

Shuguang Wang, Qian Zhou, Kui Wu et al.

Scalable Neural Network Geometric Robustness Validation via Hölder Optimisation

Yanghao Zhang, Panagiotis Kouvaros, Alessio Lomuscio

Don't be lazy: CompleteP enables compute-efficient deep transformers

Nolan Dey, Bin Zhang, Lorenzo Noci et al.

$\mu$PC: Scaling Predictive Coding to 100+ Layer Networks

Francesco Innocenti, El Mehdi Achour, Christopher L Buckley

Adversary Aware Optimization for Robust Defense

Daniel Wesego, Pedram Rooshenas

Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach

Dandan Liang, Jianing Zhang, Evan Chen et al.

Graphs Help Graphs: Multi-Agent Graph Socialized Learning

Jialu Li, Yu Wang, Pengfei Zhu et al.

Native Segmentation Vision Transformers

Guillem Brasó, Aljosa Osep, Laura Leal-Taixé

Towards a General Attention Framework on Gyrovector Spaces for Matrix Manifolds

Rui Wang, Chen Hu, Xiaoning Song et al.

ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking

Lequan Lin, Dai Shi, Andi Han et al.

VTON-VLLM: Aligning Virtual Try-On Models with Human Preferences

Siqi Wan, Jingwen Chen, Qi Cai et al.

Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling

Nguyen Phuc, Ngoc-Hieu Nguyen, Duy M. H. Nguyen et al.

OPMapper: Enhancing Open-Vocabulary Semantic Segmentation with Multi-Guidance Information

Xuehui Wang, Chongjie Si, Xue Yang et al.

Mitigating Spurious Features in Contrastive Learning with Spectral Regularization

Naghmeh Ghanooni, Waleed Mustafa, Dennis Wagner et al.

Low-Rank Head Avatar Personalization with Registers

Sai Tanmay Reddy Chakkera, Aggelina Chatziagapi, Md Moniruzzaman et al.

Integrating Drug Substructures and Longitudinal Electronic Health Records for Personalized Drug Recommendation

Wenjie Du, Xuqiang Li, Jinke Feng et al.

An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds

Siyu Chen, Theodor Misiakiewicz, Ilias Zadik et al.

Preference-Guided Diffusion for Multi-Objective Offline Optimization

Yashas Annadani, Syrine Belakaria, Stefano Ermon et al.

PANGEA: Projection-Based Augmentation with Non-Relevant General Data for Enhanced Domain Adaptation in LLMs

Seungyoo Lee, Giung Nam, Moonseok Choi et al.

Behavior Injection: Preparing Language Models for Reinforcement Learning

Zhepeng Cen, Yihang Yao, William Han et al.

PolyPose: Deformable 2D/3D Registration via Polyrigid Transformations

Vivek Gopalakrishnan, Neel Dey, Polina Golland

Bipolar Self-attention for Spiking Transformers

Shuai Wang, Malu Zhang, Jingya Wang et al.

DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning

Yueyang Yuan, Wenke Huang, Guancheng Wan et al.

FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts

Heming Zou, Yunliang Zang, Wutong Xu et al.

Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion

Qing-Yuan Jiang, Longfei Huang, Yang Yang

Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models

Yasha Ektefaie, Andrew Shen, Lavik Jain et al.

IPSI: Enhancing Structural Inference with Automatically Learned Structural Priors

Zhongben Gong, Xiaoqun Wu, Mingyang Zhou

Language Models (Mostly) Know When to Stop Reading

Roy Xie, Junlin Wang, Paul Rosu et al.

Representational Difference Explanations

Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona

G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural Networks

Alireza Aghasi, Nicholas F. Marshall, Saeid Pourmand et al.

Tackling Biased Evaluators in Dueling Bandits

Ming Tang, Yuxuan Zhou, Chao Huang

In-context Learning of Linear Dynamical Systems with Transformers: Approximation Bounds and Depth-separation

Frank Cole, Yuxuan Zhao, Yulong Lu et al.

How Patterns Dictate Learnability in Sequential Data

Mario Morawski, Anaïs Després, Remi Rehm

Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts

Ben Schiffer, Mark Sellke

Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring

Federico Di Gennaro, Khaled Eldowa, Nicolò Cesa-Bianchi

Concept-Guided Interpretability via Neural Chunking

Shuchen Wu, Stephan Alaniz, Shyamgopal Karthik et al.

FSI-Edit: Frequency and Stochasticity Injection for Flexible Diffusion-Based Image Editing

Kaixiang Yang, Xin Li, Yuxi Li et al.

VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models

Jesimon Barreto, Carlos Caetano, Andre Araujo et al.

From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy

Feng He, Guodong Tan, Qiankun Li et al.

Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection

Michelle Yuan, Khushbu Pahwa, Shuaichen Chang et al.

MaintainCoder: Maintainable Code Generation Under Dynamic Requirements

Zhengren Wang, Rui ling, Chufan Wang et al.

PRSformer: Disease Prediction from Million-Scale Individual Genotypes

Payam Dibaeinia, Chris German, Suyash Shringarpure et al.

Learning with Statistical Equality Constraints

Aneesh Barthakur, Luiz Chamon

Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks

Korneel Van den Berghe, Stein Stroobants, Vijay Janapa Reddi et al.

Synthesizing Photorealistic and Dynamic Urban Environments for Multimodal Robot Navigation and Collaboration

Yan Zhuang, Jiawei Ren, Xiaokang Ye et al.

Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition

Yu Li, Jin Jiang, Jianhua Zhu et al.

SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding

Malyaban Bal, Brian Matejek, Susmit Jha et al.

MOSDT: Self-Distillation-Based Decision Transformer for Multi-Agent Offline Safe Reinforcement Learning

Yuchen Xia, Yunjian Xu

Adjoint Schrödinger Bridge Sampler

Guan-Horng Liu, Jaemoo Choi, Yongxin Chen et al.

Prompt-guided Disentangled Representation for Action Recognition

tianci wu, Guangming Zhu, Lu jiang et al.

Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes

Haonan Wang, Hanyu Zhou, Haoyue Liu et al.

Counterfactual reasoning: an analysis of in-context emergence

Moritz Miller, Bernhard Schölkopf, Siyuan Guo

Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features

Kaichen Xu, Yihang Du, Mianpeng Liu et al.

Online Learning of Neural Networks

Amit Daniely, Idan Mehalel, Elchanan Mossel

Compositional Monte Carlo Tree Diffusion for Extendable Planning

Jaesik Yoon, Hyeonseo Cho, Sungjin Ahn

FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training

Yunqi Gao, Bing Hu, Boloursaz Mashhadi et al.

HiFC: High-efficiency Flash-based KV Cache Swapping for Scaling LLM Inference

Inho Jeong, Sunghyeon Woo, Sol Namkung et al.

MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios

Yang Shi, Huanqian Wang, Xie et al.

A Single-Swap Local Search Algorithm for k-Means of Lines

Ting Liang, Xiaoliang Wu, Junyu Huang et al.

Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs

Zhangyin Feng, Qianglong Chen, Ning Lu et al.

Multidimensional Bayesian Utility Maximization: Tight Approximations to Welfare

Kira Goldner, Taylor Lundy

Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution

Andreas Floros, Seyed-Mohsen Moosavi-Dezfooli, Pier Luigi Dragotti

Infrequent Exploration in Linear Bandits

Harin Lee, Min-hwan Oh

Towards Physics-informed Spatial Intelligence with Human Priors: An Autonomous Driving Pilot Study

Guanlin (Frank) Wu, Boyan Su, Yang Zhao et al.

A Unifying View of Linear Function Approximation in Off-Policy RL Through Matrix Splitting and Preconditioning

Zechen Wu, Amy Greenwald, Ronald Parr

SPMDM: Enhancing Masked Diffusion Models through Simplifing Sampling Path

Yichen Zhu, Weiyu Chen, James Kwok et al.

Mask Image Watermarking

Runyi Hu, Jie Zhang, Shiqian Zhao et al.

Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning

Viet Anh Khoa Tran, Emre Neftci, Willem Wybo

Value-Guided Decision Transformer: A Unified Reinforcement Learning Framework for Online and Offline Settings

Hongling Zheng, Li Shen, Yong Luo et al.

Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve

Yuanzhe Liu, Ryan Deng, Tim Kaler et al.

Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles

Kushagra Gupta, Surya Murthy, Mustafa Karabag et al.

Tight Asymptotics of Extreme Order Statistics

Matias Romero, Frederik Mallmann-Trenn, Jose Correa

Individually Fair Diversity Maximization

Ruien Li, Yanhao Wang

Parameter Dynamics of Online Machine Learning and Test-time Adaptation

Jae-Hong Lee

CausalVTG: Towards Robust Video Temporal Grounding via Causal Inference

Qiyi Wang, Senda Chen, Ying Shen

AudSemThinker: Enhancing Audio-Language Models Through Reasoning over Semantics of Sound

Gijs Wijngaard, Elia Formisano, Michele Esposito et al.

DP-LLM: Runtime Model Adaptation with Dynamic Layer-wise Precision Assignment

Sangwoo Kwon, Seong Hoon Seo, Jae W. Lee et al.

Online robust locally differentially private learning for nonparametric regression

Chenfei Gu, Qiangqiang Zhang, Ting Li et al.

Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives

Qixin Zhang, Yan Sun, Can Jin et al.

Error Forcing in Recurrent Neural Networks

A Sağtekin, Colin Bredenberg, Cristina Savin

Proper Hölder-Kullback Dirichlet Diffusion: A Framework for High Dimensional Generative Modeling

Wanpeng Zhang, Yuhao Fang, Xihang Qiu et al.

LD-RoViS: Training-free Robust Video Steganography for Deterministic Latent Diffusion Model

Xiangkun Wang, Kejiang Chen, Lincong Li et al.

A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules

Xiang Li, Feng Ruan, Huiyuan Wang et al.

Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems

Michal Derezinski, Daniel LeJeune, Deanna Needell et al.

Stochastic-Constrained Stochastic Optimization with Markovian Data

Yeongjong Kim, Dabeen Lee

Position: Towards Bidirectional Human-AI Alignment

Hua Shen, Tiffany Knearem, Reshmi Ghosh et al.

DataSIR: A Benchmark Dataset for Sensitive Information Recognition

Fan Mo, Bo Liu, Yuan Fan et al.

Intend to Move: A Multimodal Dataset for Intention-Aware Human Motion Understanding

Ryo Umagami, Liu Yue, Xuangeng Chu et al.

DAVE: Diagnostic benchmark for Audio Visual Evaluation

Gorjan Radevski, Teodora Popordanoska, Matthew Blaschko et al.

OVERT: A Benchmark for Over-Refusal Evaluation on Text-to-Image Models

Ziheng Cheng, Yixiao Huang, Hui Xu et al.

MM-OPERA: Benchmarking Open-ended Association Reasoning for Large Vision-Language Models

Zimeng Huang, Jinxin Ke, Xiaoxuan Fan et al.

MolVision: Molecular Property Prediction with Vision Language Models

Deepan Adak, Yogesh Rawat, Shruti Vyas

CheMixHub: Datasets and Benchmarks for Chemical Mixture Property Prediction

Ella Miray Rajaonson, Mahyar Rajabi Kochi, Luis Martin Mejia Mendoza et al.

Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence

Yining Hong, Rui Sun, Bingxuan Li et al.

SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models

Xianda Guo, Ruijun Zhang, Yiqun Duan et al.

TreeFinder: A US-Scale Benchmark Dataset for Individual Tree Mortality Monitoring Using High-Resolution Aerial Imagery

Zhihao Wang, Cooper Li, Ruichen Wang et al.

Dense Backpropagation Improves Training for Sparse Mixture-of-Experts

Ashwinee Panda, Vatsal Baherwani, Zain Sarwar et al.

Collaborating Vision, Depth, and Thermal Signals for Multi-Modal Tracking: Dataset and Algorithm

Xue-Feng Zhu, Tianyang Xu, Yifan Pan et al.

REFED: A Subject Real-time Dynamic Labeled EEG-fNIRS Synchronized Recorded Emotion Dataset

Xiaojun Ning, Jing Wang, Zhiyang Feng et al.

PF∆: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations

Ana Rivera Him, Anvita Bhagavathula, Alvaro Carbonero et al.

GSO: Challenging Software Optimization Tasks for Evaluating SWE-Agents

Manish Shetty, Naman Jain, Jinjian Liu et al.

STSBench: A Large-Scale Dataset for Modeling Neuronal Activity in the Dorsal Stream of Primate Visual Cortex

Ethan Trepka, Ruobing Xia, Shude Zhu et al.

SeasonBench-EA: A Multi-Source Benchmark for Seasonal Prediction and Numerical Model Post-Processing in East Asia

Mengxuan Chen, Li, Zou Ziheng et al.

PUO-Bench: A Panel Understanding and Operation Benchmark with A Privacy-Preserving Framework

Wei LIN, Yiwei Zhou, Junkai Zhang et al.

A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks

Georgios Mentzelopoulos, Ioannis Asmanis, Konrad Kording et al.

Augmenting Biological Fitness Prediction Benchmarks with Landscapes Features from GraphFLA

Mingyu Huang, Shasha Zhou, Ke Li

egoEMOTION: Egocentric Vision and Physiological Signals for Emotion and Personality Recognition in Real-world Tasks

Matthias Jammot, Björn Braun, Paul Streli et al.

From Objects to Anywhere: A Holistic Benchmark for Multi-level Visual Grounding in 3D Scenes

Tianxu Wang, Zhuofan Zhang, Ziyu Zhu et al.

VMDT: Decoding the Trustworthiness of Video Foundation Models

Yujin Potter, Zhun Wang, Nicholas Crispino et al.

Towards Automated Petrography

Isai Daniel Chacon, Paola Ruiz Puentes, Jillian Pearse et al.

QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design

Rui Yang, Ziruo Wang, Yuntian Gu et al.

Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms

William Réveillard, Richard Combes

MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models

Hang Hua, Ziyun Zeng, Yizhi Song et al.

Benchmarking Egocentric Multimodal Goal Inference for Assistive Wearable Agents

Vijay Veerabadran, Fanyi Xiao, Nitin Kamra et al.

Long-term Intracortical Neural activity and Kinematics (LINK): An intracortical neural dataset for chronic brain-machine interfaces, neuroscience, and machine learning

Hisham Temmar, Yixuan Wang, Nina Gill et al.

IR-OptSet: An Optimization-Sensitive Dataset for Advancing LLM-Based IR Optimizer

Zi Yang, Lei Qiu, FANG LYU et al.

CGBench: Benchmarking Language Model Scientific Reasoning for Clinical Genetics Research

Owen Queen, Harrison Zhang, James Zou

Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition

Andy Zou, Maxwell Lin, Eliot Jones et al.

HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks

Hongjin Qian, Zheng Liu, Chao Gao et al.

Toward Real-world Text Image Forgery Localization: Structured and Interpretable Data Synthesis

Zeqin Yu, Haotao Xie, Jian Zhang et al.

EngiBench: A Framework for Data-Driven Engineering Design Research

Florian Felten, Gabriel Apaza, Gerhard Bräunlich et al.

DermaCon-IN: A Multiconcept-Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research

Shanawaj Sahebpatel Madarkar, Mahajabeen Madarkar, Madhumitha Venkatesh et al.

Words That Unite The World: A Unified Framework for Deciphering Central Bank Communications

Agam Shah, Siddhant Sukhani, Huzaifa Pardawala et al.

What’s in Common? Multimodal Models Hallucinate When Reasoning Across Scenes

Candace Ross, Florian Bordes, Adina Williams et al.

QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?

Belinda Li, Been Kim, Zi Wang

AGI-Elo: How Far Are We From Mastering A Task?

Shuo Sun, Yimin Zhao, Christina Lee et al.

LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously Thought

Cheng Yan, Felix Mohr, Tom Viering

All that structure matches does not glitter

Maya Martirossyan, Thomas Egg, Philipp Höllmer et al.

MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems

Yinsicheng Jiang, Yao Fu, Yeqi Huang et al.

Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models

Haohan Chi, Huan-ang Gao, Ziming Liu et al.

Chain-of-Model Learning for Language Model

Xiaohua Wang, Kaitao Song, Xu Tan et al.

ClinBench: A Standardized Multi-Domain Framework for Evaluating Large Language Models in Clinical Information Extraction

Ismael Villanueva Miranda, Zifan Gu, Donghan Yang et al.

What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Sang Choe, Hwijeen Ahn, Juhan Bae et al.

A Temporal Difference Method for Stochastic Continuous Dynamics

Haruki Settai, Naoya Takeishi, Takehisa Yairi

Torch-Uncertainty: Deep Learning Uncertainty Quantification

Adrien Lafage, Olivier Laurent, Firas Gabetni et al.

3EED: Ground Everything Everywhere in 3D

Rong Li, Yuhao Dong, Tianshuai Hu et al.

MRSAudio: A Large-Scale Multimodal Recorded Spatial Audio Dataset with Refined Annotations

Wenxiang Guo, Changhao Pan, Zhiyuan Zhu et al.

T1: A Tool-Oriented Conversational Dataset for Multi-Turn Agentic Planning

Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies

Efthymia Tsamoura, Kaifu Wang, Dan Roth

Contrastive Learning with Data Misalignment: Feature Purity, Training Dynamics and Theoretical Generalization Guarantees

Jiawei Sun, Shuai Zhang, Hongkang Li et al.

TAPVid-360: Tracking Any Point in 360 from Narrow Field of View Video

Finlay Hudson, James Gardner, William Smith

ArchPower: Dataset for Architecture-Level Power Modeling of Modern CPU Design

Qijun Zhang, Yao Lu, Mengming Li et al.

FLiP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning

Dongping Liao, Xitong Gao, Cheng-Zhong Xu

MMOT: The First Challenging Benchmark for Drone-based Multispectral Multi-Object Tracking

Tianhao Li, Tingfa Xu, Ying Wang et al.

ReinAD: Towards Real-world Industrial Anomaly Detection with a Comprehensive Contrastive Dataset

Xu Wang, Jingyuan Zhuo, Zhiyuan You et al.

DeceptionBench: A Comprehensive Benchmark for AI Deception Behaviors in Real-world Scenarios

Yao Huang, Yitong Sun, Yichi Zhang et al.

MathArena: Evaluating LLMs on Uncontaminated Math Competitions

Mislav Balunovic, Jasper Dekoninck, Ivo Petrov et al.

Spik-NeRF: Spiking Neural Networks for Neural Radiance Fields

Gang Wan, Qinlong Lan, Zihan Li et al.

Uncover Governing Law of Pathology Propagation Mechanism Through A Mean-Field Game

Tingting Dan, Zhihao Fan, Guorong Wu

SmallKV: Small Model Assisted Compensation of KV Cache Compression for Efficient LLM Inference

Yi Zhao, Yajuan Peng, Nguyen Cam-Tu et al.

Towards Identifiability of Hierarchical Temporal Causal Representation Learning

Zijian Li, Minghao Fu, Junxian Huang et al.

RidgeLoRA: Matrix Ridge Enhanced Low-Rank Adaptation of Large Language Models

Junda Zhu, Jun Ai, Yujun Li et al.

Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation

Byunghyun Kim, Minyoung Bae, Jae-Gil Lee

CF-VLM：CounterFactual Vision-Language Fine-tuning

jusheng zhang, Kaitong Cai, Yijia Fan et al.

Gaze-VLM: Bridging Gaze and VLMs through Attention Regularization for Egocentric Understanding

Anupam Pani, Yanchao Yang

Towards a Geometric Understanding of Tensor Learning via the t-Product

Andong Wang, Yuning Qiu, Haonan Huang et al.

DISCO: DISCrete nOise for Conditional Control in Text-to-Image Diffusion Models

Longquan Dai, Wu Ming, Dejiao Xue et al.

CVGL: Causal Learning and Geometric Topology

Songsong Ouyang, Yingying Zhu

PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding

Kangcong Li, Peng Ye, Chongjun Tu et al.

GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents

Yuqi Zhou, Sunhao Dai, Shuai Wang et al.

No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes

Jasmine Bayrooti, Sattar Vakili, Amanda Prorok et al.

Streaming Audio Generation from Discrete Tokens via Streaming Flow Matching

Ha-Yeong Choi, Sang-Hoon Lee

CARES: Comprehensive Evaluation of Safety and Adversarial Robustness in Medical LLMs

Sijia Chen, Xiaomin Li, mengxue zhang et al.

Flow Field Reconstruction with Sensor Placement Policy Learning

Ruoyan Li, Guancheng Wan, Zijie Huang et al.

Generalizable, real-time neural decoding with hybrid state-space models

Avery Hee-Woon Ryoo, Nanda H Krishna, Ximeng Mao et al.

Mitigating Forgetting in LLM Fine-Tuning via Low-Perplexity Token Learning

Chao-Chung Wu, Zhi Rui Tam, Chieh-Yen Lin et al.

Learning Multi-Source and Robust Representations for Continual Learning

Fei Ye, Yongcheng Zhong, Qihe Liu et al.

Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging

Hongjin Qian, Zheng Liu

ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation

Jiawen Yu, Hairuo Liu, Qiaojun Yu et al.

Spectral Estimation with Free Decompression

Siavash Ameli, Chris van der Heide, Liam Hodgkinson et al.

Asymptotically Stable Quaternion-valued Hopfield-structured Neural Network with Periodic Projection-based Supervised Learning Rules

Tianwei Wang, Xinhui Ma, Wei Pang

Path-specific effects for pulse-oximetry guided decisions in critical care

Kevin Zhang, Yonghan Jung, Divyat Mahajan et al.

DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Qiying Yu, Zheng Zhang, Ruofei Zhu et al.

CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder

Yongmin Lee, Hye Won Chung

Denoising Trajectory Biases for Zero-Shot AI-Generated Image Detection

Yachao Liang, Min Yu, Gang Li et al.

Bridging Scales: Spectral Theory Reveals How Local Connectivity Rules Sculpt Global Neural Dynamics in Spatially Extended Networks

Yuhan Huang, Keren Gao, Dongping Yang et al.

AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding

Ahmed Masry, Juan Rodriguez, Tianyu Zhang et al.

Adversarial Robustness of Nonparametric Regression

Parsa Moradi, Hanzaleh Nodehi, Mohammad Maddah-Ali

pLSTM: parallelizable Linear Source Transition Mark networks

Korbinian Pöppel, Richard Freinschlag, Thomas Schmied et al.

RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget

Adam Piaseczny, Md Kamran Chowdhury Shisher, Shiqiang Wang et al.

Lorentz Local Canonicalization: How to make any Network Lorentz-Equivariant

Jonas Spinner, Luigi Favaro, Peter Lippmann et al.

ENMA: Tokenwise Autoregression for Continuous Neural PDE Operators

Armand Kassaï Koupaï, Lise Le Boudec, Louis Serrano et al.

A Physics-preserved Transfer Learning Method for Differential Equations

Hao-Ran Yang, Chuan-Xian Ren

A TRIANGLE Enables Multimodal Alignment Beyond Cosine Similarity

Giordano Cicchetti, Eleonora Grassucci, Danilo Comminiello

Decoding Causal Structure: End-to-End Mediation Pathways Inference

Yulong Li, Xiwei Liu, feilong tang et al.

THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representations

Wenchao Yang, Weidong Yan, Wenkang Liu et al.