Most Cited NEURIPS "gaussian light source" Papers

CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning

Pengyi Li, Shixiong Kai, Jianye Hao et al.

InstructSAM: A Training-free Framework for Instruction-Oriented Remote Sensing Object Recognition

Yijie Zheng, Weijie Wu, Qingyun Li et al.

Dynamic Semantic-Aware Correlation Modeling for UAV Tracking

Xinyu Zhou, Tongxin Pan, Lingyi Hong et al.

HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery

Vaibhav Rathore, Divyam Gupta, Biplab Banerjee

Position: Biology is the Challenge Physics-Informed ML Needs to Evolve

Julien Martinelli

Care-PD: A Multi-Site Anonymized Clinical Dataset for Parkinson’s Disease Gait Assessment

Vida Adeli, Ivan Klabučar, Javad Rajabi et al.

LLM Layers Immediately Correct Each Other

Arjun Patrawala, Jiahai Feng, Erik Jones et al.

DualCnst: Enhancing Zero-Shot Out-of-Distribution Detection via Text-Image Consistency in Vision-Language Models

Fayi Le, Wenwu He, Chentao Cao et al.

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track

Rylan Schaeffer, Joshua Kazdan, Yegor Denisov-Blanch et al.

OmniZoom: A Universal Plug-and-Play Paradigm for Cross-Device Smooth Zoom Interpolation

Xiaoan Zhu, Yue Zhao, Tianyang Hu et al.

Real-Time Hyper-Personalized Generative AI Should Be Regulated to Prevent the Rise of "Digital Heroin"

Raad Khraishi, Cristovao Iglesias de Oliveira, Devesh Batra et al.

Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks

Fanghui Liu, Leello Tadesse Dadi, Volkan Cevher

Stochastic-Constrained Stochastic Optimization with Markovian Data

Yeongjong Kim, Dabeen Lee

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

Seungyoo Lee, Giung Nam, Moonseok Choi et al.

Efficient PAC Learning for Realizable-Statistic Models via Convex Surrogates

Shivani Agarwal

IPSI: Enhancing Structural Inference with Automatically Learned Structural Priors

Zhongben Gong, Xiaoqun Wu, Mingyang Zhou

Active Test-time Vision-Language Navigation

Heeju Ko, Sung June Kim, Gyeongrok Oh et al.

MoodAngels: A Retrieval-augmented Multi-agent Framework for Psychiatry Diagnosis

Mengxi Xiao, Ben Liu, He Li et al.

Prompt-guided Disentangled Representation for Action Recognition

tianci wu, Guangming Zhu, Lu jiang et al.

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

Michal Derezinski, Daniel LeJeune, Deanna Needell et al.

IMPROVED LEARNING THEORY FOR KERNEL DISTRIBUTION REGRESSION WITH TWO-STAGE SAMPLING

Alberto González-Sanz, François Bachoc, Jean-Michel Loubes et al.

QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code

Hainan Fang, Yuanbo Wen, Jun Bi 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.

Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies

Runze Yan, Xun Shen, Akifumi Wachi et al.

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

Hongling Zheng, Li Shen, Yong Luo et al.

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

Xiangkun Wang, Kejiang Chen, Lincong Li et al.

Tackling Continual Offline RL through Selective Weights Activation on Aligned Spaces

Jifeng Hu, Sili Huang, Li Shen et al.

DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding

Yunhai Hu, Tianhua Xia, Zining Liu et al.

Autoregressive Motion Generation with Gaussian Mixture-Guided Latent Sampling

Linnan Tu, Lingwei Meng, Zongyi Li et al.

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

Wanpeng Zhang, Yuhao Fang, Xihang Qiu et al.

Encouraging metric-aware diversity in contrastive representation space

Tianxu Li, Kun Zhu

Neighbor-aware Contrastive Disambiguation for Cross-Modal Hashing with Redundant Annotations

Chao Su, Likang Peng, Yuan Sun et al.

Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training

Shi Fu, Yingjie Wang, Yuzhu Chen et al.

Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought

Chao Huang, Benfeng Wang, Wei Wang et al.

Replicable Online pricing

Kiarash Banihashem, Mohammadhossein Bateni, Hossein Esfandiari et al.

A Simple Linear Patch Revives Layer-Pruned Large Language Models

Xinrui Chen, Haoli Bai, Tao Yuan et al.

Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration

Seungyeon Choi, Hwanhee Kim, Chihyun Park et al.

DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space

Junchao Gong, Jingyi Xu, Ben Fei et al.

Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection

Anay Majee, Amitesh Gangrade, Rishabh Iyer

Robustifying Learning-Augmented Caching Efficiently without Compromising 1-Consistency

Peng Chen, Hailiang Zhao, Jiaji Zhang et al.

Unveiling Transformer Perception by Exploring Input Manifolds

Alessandro Benfenati, Alfio Ferrara, Alessio Marta et al.

Spectral Learning for Infinite-Horizon Average-Reward POMDPs

Alessio Russo, Alberto Maria Metelli, Marcello Restelli

$\textit{HiMaCon:}$ Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data

Ruizhe Liu, Pei Zhou, Qian Luo et al.

Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity Assumptions

Nayel Bettache

Bootstrapping Hierarchical Autoregressive Formal Reasoner with Chain-of-Proxy-Autoformalization

Qi Liu, Xinhao Zheng, Renqiu Xia et al.

Beyond Least Squares: Uniform Approximation and the Hidden Cost of Misspecification

Davide Maran, Csaba Szepesvari

Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training

Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation

Divyanshu Mishra, Mohammadreza Salehi, Pramit Saha et al.

A Markov Decision Process for Variable Selection in Branch & Bound

Paul STRANG, Zacharie ALES, Côme Bissuel et al.

Identifying multi-compartment Hodgkin-Huxley models with high-density extracellular voltage recordings

Ian Christopher Tanoh, Michael Deistler, Jakob H Macke et al.

Connecting Jensen–Shannon and Kullback–Leibler Divergences: A New Bound for Representation Learning

Reuben Dorent, Polina Golland, William (Sandy) Wells

Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory

Hanru Bai, Weiyang Ding, Difan Zou

Error Forcing in Recurrent Neural Networks

A Sağtekin, Colin Bredenberg, Cristina Savin

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

Qixin Zhang, Yan Sun, Can Jin et al.

Training the Untrainable: Introducing Inductive Bias via Representational Alignment

Vighnesh Subramaniam, David Mayo, Colin Conwell et al.

Private Hyperparameter Tuning with Ex-Post Guarantee

Badih Ghazi, Pritish Kamath, Alexander Knop et al.

Learning to Zoom with Anatomical Relations for Medical Structure Detection

Bin Pu, Liwen Wang, Xingbo Dong et al.

Optimal Single-Policy Sample Complexity and Transient Coverage for Average-Reward Offline RL

Matthew Zurek, Guy Zamir, Yudong Chen

Fast Local Search Algorithms for Clustering with Adaptive Sampling and Bandit Strategies

Junyu Huang, Qilong Feng, Zhen Zhang et al.

Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking

Chen-Hao (Lance) Chao, Wei-Fang Sun, Hanwen Liang et al.

Parsimonious Predictions for Strategyproof Scheduling

Richard Cole, Anupam Gupta, Pranav Jangir

Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization

Xingyu Chen, Bokun Wang, Ming Yang et al.

Towards Generalizable Detector for Generated Image

Qianshu Cai, Chao Wu, Yonggang Zhang et al.

Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning

Tianxing Wu, Shutong Zhu, Jingting Wang et al.

PPMStereo: Pick-and-Play Memory Construction for Consistent Dynamic Stereo Matching

WANG Yun, Qiaole Dong, Yongjian Zhang et al.

Learning Urban Climate Dynamics via Physics-Guided Urban Surface–Atmosphere Interactions

Jiyang Xia, Fenghua Ling, Zhenhui Jessie Li et al.

Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency

Yukun Jiang, Mingjie Li, Michael Backes et al.

PhysDrive: A Multimodal Remote Physiological Measurement Dataset for In-vehicle Driver Monitoring

Wang, Xiao Yang, Qingyong Hu et al.

Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery

Shayan Shekarforoush, David Lindell, Marcus Brubaker et al.

Reasoning Beyond Points: A Visual Introspective Approach for Few-Shot 3D Segmentation

Changshuo Wang, Shuting He, Xiang Fang et al.

High Dynamic Range Imaging with Time-Encoding Spike Camera

Zhenkun Zhu, Ruiqin Xiong, Jiyu Xie et al.

OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning

Ling Fu, Zhebin Kuang, Jiajun Song et al.

Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS

Tao Wang, Mengyu Li, Geduo Zeng et al.

Semantic and Visual Crop-Guided Diffusion Models for Heterogeneous Tissue Synthesis in Histopathology

Saghir Alfasly, Wataru Uegami, MD ENAMUL HOQ et al.

Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization

Bowei He, Lihao Yin, Hui-Ling Zhen et al.

Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations

Yujie Zhu, Charles Hepburn, Matthew Thorpe et al.

Under the Shadow: Exploiting Opacity Variation for Fine-grained Shadow Detection

Xiaotian Qiao, Ke Xu, Xianglong Yang et al.

On Learning Verifiers and Implications to Chain-of-Thought Reasoning

Maria-Florina Balcan, Avrim Blum, Zhiyuan Li et al.

On Hierarchies of Fairness Notions in Cake Cutting: From Proportionality to Super Envy-Freeness

Arnav Mehra, Alexandros Psomas

Physics-informed Neural Operator for Pansharpening

Xinyang Liu, Junming Hou, Chenxu Wu et al.

Anatomically inspired digital twins capture hierarchical object representations in visual cortex

Emanuele Luconi, Dario Liscai, Carlo Baldassi et al.

Consistency of the $k_n$-nearest neighbor rule under adaptive sampling

Robi Bhattacharjee, Geelon So, Sanjoy Dasgupta

Towards Visualization-of-Thought Jailbreak Attack against Large Visual Language Models

HongQiong Zhong, Qingyang Teng, Baolin Zheng et al.

Interactive Cross-modal Learning for Text-3D Scene Retrieval

Yanglin Feng, Yongxiang Li, Yuan Sun et al.

Rethinking Evaluation of Infrared Small Target Detection

Youwei Pang, Xiaoqi Zhao, Lihe Zhang et al.

OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-time Emotional Speech Synthesis

Run Luo, Ting-En Lin, Haonan Zhang et al.

Efficient Training of Minimal and Maximal Low-Rank Recurrent Neural Networks

Anushri Arora, Jonathan Pillow

Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration

俊琪 高, Zhichang Guo, Dazhi Zhang et al.

A Minimalistic Unified Framework for Incremental Learning across Image Restoration Tasks

Xiaoxuan Gong, Jie Ma

Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation

Yao Teng, Fu-Yun Wang, Xian Liu et al.

Adaptive Fission: Post-training Encoding for Low-latency Spike Neural Networks

Yizhou Jiang, Feng Chen, Yihan Li et al.

Single-pass Adaptive Image Tokenization for Minimum Program Search

Shivam Duggal, Sanghyun Byun, Bill Freeman et al.

Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs

Fangrui Zhu, Hanhui Wang, Yiming Xie et al.

RANK++LETR: Learn to Rank and Optimize Candidates for Line Segment Detection

Xin Tong, Baojie Tian, Yufei Guo et al.

NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification

Mélodie Monod, Alessandro Micheli, Samir Bhatt

Accelerating 3D Molecule Generative Models with Trajectory Diagnosis

Zhilong Zhang, Yuxuan Song, Yichun Wang et al.

Learning to Control Free-Form Soft Swimmers

Changyu Hu, Yanke Qu, Qiuan Yang et al.

Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis

Alistair Shilton, Sunil Gupta, Santu Rana et al.

PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation

Kunyu Wang, Xueyang Fu, Yuanfei Bao et al.

FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning

Woosung Kim, Jinho Lee, Jongmin Lee et al.

Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration

Yiyuan Pan, Zhe Liu, Hesheng Wang

Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training

Brian Bartoldson, Siddarth Venkatraman, James Diffenderfer et al.

BAM-ICL: Causal Hijacking In-Context Learning with Budgeted Adversarial Manipulation

Rui Chu, Bingyin Zhao, Hanling Jiang et al.

HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation

Ling Yang, Xinchen Zhang, Ye Tian et al.

CroPe: Cross-Modal Semantic Compensation Adaptation for All Adverse Scene Understanding

Qin Xu, Qihang Wu, Lu Hongtao et al.

Stop the Nonconsensual Use of Nude Images in Research

Princessa Cintaqia, Arshia Arya, Elissa Redmiles et al.

Complete Structure Guided Point Cloud Completion via Cluster- and Instance-Level Contrastive Learning

Yang Chen, Yirun Zhou, Weizhong Zhang et al.

Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control

Georgios Papoudakis, Thomas Coste, Jianye Hao et al.

Strategyproof Reinforcement Learning from Human Feedback

Thomas Kleine Buening, Jiarui Gan, Debmalya Mandal et al.

BMW: Bidirectionally Memory bank reWriting for Unsupervised Person Re-Identification

Xiaobin Liu, Jianing Li, Baiwei Guo et al.

OrthoLoC: UAV 6-DoF Localization and Calibration Using Orthographic Geodata

Oussema Dhaouadi, Riccardo Marin, Johannes Meier et al.

Implicit-ARAP: Efficient Handle-Guided Neural Field Deformation via Local Patch Meshing

Daniele Baieri, Filippo Maggioli, Emanuele Rodolà et al.

Online Portfolio Selection with ML Predictions

Ziliang Zhang, Tianming Zhao, Albert Zomaya

Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design

Nianzu Yang, Songlin Jiang, Jian Ma et al.

Normalize Filters! Classical Wisdom for Deep Vision

Gustavo Perez, Stella X. Yu

Conflict-Aware Knowledge Editing in the Wild: Semantic-Augmented Graph Representation for Unstructured Text

Zhange Zhang, Zhicheng Geng, Yuqing Ma et al.

Rig3R: Rig-Aware Conditioning and Discovery for 3D Reconstruction

Samuel Li, Pujith Kachana, Prajwal Chidananda et al.

Heterogeneous Graph Transformers for Simultaneous Mobile Multi-Robot Task Allocation and Scheduling under Temporal Constraints

Batuhan Altundas, Shengkang Chen, Shivika Singh et al.

Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation

Yuyang Huang, Yabo Chen, Junyu Zhou et al.

NegoCollab: A Common Representation Negotiation Approach for Heterogeneous Collaborative Perception

CONGZHANG SHAO, Quan Yuan, Guiyang Luo et al.

ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection

Zhihao Sun, Haoran Jiang, Haoran Chen et al.

GD$^2$: Robust Graph Learning under Label Noise via Dual-View Prediction Discrepancy

Kailai Li, Jiong Lou, Jiawei Sun et al.

You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering

Hanyang Li, Yuheng Jia, Hui LIU et al.

SYMPHONY: Synergistic Multi-agent Planning with Heterogeneous Language Model Assembly

Wei Zhu, Zhiwen Tang, Kun Yue

Lookahead Routing for Large Language Models

Canbin Huang, Tianyuan Shi, Yuhua Zhu et al.

Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning

Yaorui Shi, Sihang Li, Chang Wu et al.

In-Context Fully Decentralized Cooperative Multi-Agent Reinforcement Learning

Chao Li, Bingkun BAO, Yang Gao

Dual-Res Tandem Mamba-3D: Bilateral Breast Lesion Detection and Classification on Non-contrast Chest CT

Jiaheng Zhou, Wei Fang, Luyuan Xie et al.

Spiking Neural Networks Need High-Frequency Information

Yuetong Fang, Deming Zhou, Ziqing Wang et al.

A Unified Analysis of Stochastic Gradient Descent with Arbitrary Data Permutations and Beyond

Yipeng Li, Xinchen Lyu, Zhenyu Liu

Towards Self-Refinement of Vision-Language Models with Triangular Consistency

Yunlong Deng, Guangyi Chen, Tianpei Gu et al.

Image Stitching in Adverse Condition: A Bidirectional-Consistency Learning Framework and Benchmark

Zengxi Zhang, Junchen Ge, Zhiying Jiang et al.

Fit the Distribution: Cross-Image/Prompt Adversarial Attacks on Multimodal Large Language Models

Hai Yan, Haijian Ma, Xiaowen Cai et al.

CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations

Guangyi Chen, Yunlong Deng, Peiyuan Zhu et al.

Self-Perturbed Anomaly-Aware Graph Dynamics for Multivariate Time-Series Anomaly Detection

Jinyu Cai, Yuan Xie, Glynnis Lim et al.

Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion

Qijun Luo, Yifei Shen, Liangzu Peng et al.

Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization

Baoyi He, Luotian Yuan, Ying Wei et al.

URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model

Zhe Li, Xiang Bai, Jieyu Zhang et al.

ToF-IP: Time-of-Flight Enhanced Sparse Inertial Poser for Real-time Human Motion Capture

Yuan Yao, Shifan Jiang, Yangqing Hou et al.

Residual Stream Analysis of Overfitting And Structural Disruptions

Quan Liu, Han Zhou, Wenquan Wu et al.

Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns

Menghao Zhang, Huazheng Wang, Pengfei Ren et al.

Ranking-based Preference Optimization for Diffusion Models from Implicit User Feedback

Yi-Lun Wu, Bo-Kai Ruan, Chiang Tseng et al.

Whose Instructions Count? Resolving Preference Bias in Instruction Fine-Tuning

Jiayu Zhang, Changbang Li, Yinan Peng et al.

CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching

Chen Chen, Pengsheng Guo, Liangchen Song et al.

NUTS: Eddy-Robust Reconstruction of Surface Ocean Nutrients via Two-Scale Modeling

Hao Zheng, Shiyu Liang, Yuting Zheng et al.

When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding

Yan Shu, Hangui Lin, Yexin Liu et al.

How to Learn a Star: Binary Classification with Starshaped Polyhedral Sets

Marie-Charlotte Brandenburg, Katharina Jochemko

Explainably Safe Reinforcement Learning

Sabine Rieder, Stefan Pranger, Debraj Chakraborty et al.

ECO: Evolving Core Knowledge for Efficient Transfer

Fu Feng, Yucheng Xie, Ruixiao Shi et al.

Non-Asymptotic Guarantees for Average-Reward Q-Learning with Adaptive Stepsizes

Zaiwei Chen

Point-MaDi: Masked Autoencoding with Diffusion for Point Cloud Pre-training

Xiaoyang Xiao, Runzhao Yao, Zhiqiang Tian et al.

Generation as Search Operator for Test-Time Scaling of Diffusion-based Combinatorial Optimization

Yang Li, Lvda Chen, Haonan Wang et al.

SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization

Junpyo Seo, HanbinKoo, jieun yook et al.

InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models

Yanggan Gu, Yuanyi Wang, Zhaoyi Yan et al.

Thinking vs. Doing: Improving Agent Reasoning by Scaling Test-Time Interaction

Junhong Shen, Hao Bai, Lunjun Zhang et al.

ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio–Language Models

Weifei Jin, Yuxin Cao, Junjie Su et al.

MUVR: A Multi-Modal Untrimmed Video Retrieval Benchmark with Multi-Level Visual Correspondence

Yue Feng, Jinwei Hu, Qijia Lu et al.

Implicit Modeling for Transferability Estimation of Vision Foundation Models

Yaoyan Zheng, Huiqun Wang, Nan Zhou et al.

Feature-aware Modulation for Learning from Temporal Tabular Data

Haorun Cai, Han-Jia Ye

SGN: Shifted Window-Based Hierarchical Variable Grouping for Multivariate Time Series Classification

Zenan Ying, Zhi Zheng, huijun hou et al.

LiveStar: Live Streaming Assistant for Real-World Online Video Understanding

Zhenyu Yang, Kairui Zhang, Yuhang Hu et al.

Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs

Gerardo Flores, Alyssa H. Smith, Julia Fukuyama et al.

Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack

Yukun Chen, Boheng Li, Yu Yuan et al.

SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment

QiXu, Dongxu Wei, Lingzhe Zhao et al.

SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score

Mohammad Jalali, Haoyu Lei, Amin Gohari et al.

User-Instructed Disparity-aware Defocus Control

Yudong Han, Yan Yang, Hao Yang et al.

Towards the Resistance of Neural Network Fingerprinting to Fine-tuning

Ling Tang, YueFeng Chen, Hui Xue' et al.

LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting

Yi Xiao, Hang Fan, Kun Chen et al.

UniGTE: Unified Graph–Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains

Duo Wang, Yuan Zuo, Guangyue Lu et al.

An Effective Levelling Paradigm for Unlabeled Scenarios

Fangming Cui, Zhou Yu, Di Yang et al.

FreeControl: Efficient, Training-Free Structural Control via One-Step Attention Extraction

Jiang Lin, Xinyu Chen, Song Wu et al.

Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints

Ling Zhan, Junjie Huang, Xiaoyao Yu et al.

SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert Identification

Zhenglin Lai, Mengyao Liao, Bingzhe Wu et al.

Proxy-SPEX: Sample-Efficient Interpretability via Sparse Feature Interactions in LLMs

Landon Butler, Abhineet Agarwal, Justin Kang et al.

Policy Optimized Text-to-Image Pipeline Design

Uri Gadot, Rinon Gal, Yftah Ziser et al.

A Geometry-Aware Metric for Mode Collapse in Time Series Generative Models

Yassine ABBAHADDOU, Amine Aboussalah

GLID$^2$E: A Gradient-Free Lightweight Fine-tune Approach for Discrete Biological Sequence Design

Hanqun Cao, Haosen Shi, Chenyu Wang et al.

Robust Egocentric Referring Video Object Segmentation via Dual-Modal Causal Intervention

Haijing Liu, Zhiyuan Song, Hefeng Wu et al.

Reasoning Is Not a Race: When Stopping Early Beats Going Deeper

Mohan Zhang, Jiaxuan Gao, Shusheng Xu et al.

World Models as Reference Trajectories for Rapid Motor Adaptation

Carlos Stein Brito, Daniel McNamee

Sample-Efficient Tabular Self-Play for Offline Robust Reinforcement Learning

Na Li, Zewu Zheng, Wei Ni et al.

High-Order Flow Matching: Unified Framework and Sharp Statistical Rates

Maojiang Su, Jerry Yao-Chieh Hu, Yi-Chen Lee et al.

FerretNet: Efficient Synthetic Image Detection via Local Pixel Dependencies

Shuqiao Liang, Jian Liu, Chen Renzhang et al.

AnomalyCoT: A Multi-Scenario Chain-of-Thought Dataset for Multimodal Large Language Models

Jiaxi Cheng, Yuliang Xu, Shoupeng Wang et al.

Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch

Xu Cai, Yang Wu, Qianli Chen et al.

Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking

Zihan Su, Xuerui Qiu, Hongbin Xu Xu et al.

Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

Zihan Qiu, Zekun Wang, Bo Zheng et al.

Protein Inverse Folding From Structure Feedback

Junde Xu, Zijun Gao, Xinyi Zhou et al.

Rectifying Soft-Label Entangled Bias in Long-Tailed Dataset Distillation

Chenyang Jiang, Hang Zhao, Xinyu Zhang et al.

ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation

Xiaomeng Yang, LEI LU, Qihui Fan et al.

Model-Guided Dual-Role Alignment for High-Fidelity Open-Domain Video-to-Audio Generation

Kang Zhang, Trung X. Pham, Suyeon Lee et al.

Mixtures of Subspaces for Bandwidth Efficient Context Parallel Training

Sameera Ramasinghe, Thalaiyasingam Ajanthan, Hadi Mohaghegh Dolatabadi et al.

Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification

Zeqi Ye, Minshuo Chen

ChemX: A Collection of Chemistry Datasets for Benchmarking Automated Information Extraction

Anastasia Vepreva, Julia Razlivina, Mariia Eremeyeva et al.

CMoB: Modality Valuation via Causal Effect for Balanced Multimodal Learning

Jun Wang, Fuyuan CAO, ZhixinXue et al.

Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization

Fuyuan CAO, Shichang Qiao, Kui Yu et al.

Redefining Experts: Interpretable Decomposition of Language Models for Toxicity Mitigation

Zuhair Hasan Shaik, Abdullah Mazhar, Aseem Srivastava et al.

Computational Hardness of Reinforcement Learning with Partial $q^{\pi}$-Realizability

Shayan Karimi, Xiaoqi Tan

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning

Zewei Zhou, Tianhui Cai, Seth Zhao et al.

KSP: Kolmogorov-Smirnov metric-based Post-Hoc Calibration for Survival Analysis

Jeongho Park, Daheen Kim, Cheoljun Kim et al.