Most Cited NEURIPS "interaction paradigms" Papers
5,858 papers found • Page 4 of 30
Conference
Training-Free Constrained Generation With Stable Diffusion Models
Stefano Zampini, Jacob K Christopher, Luca Oneto et al.
Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy
Jie Ren, Zhenwei Dai, Xianfeng Tang et al.
Activation-Informed Merging of Large Language Models
Amin Heyrani Nobari, Kaveh Alimohammadi, Ali ArjomandBigdeli et al.
Depth-Bounds for Neural Networks via the Braid Arrangement
Moritz Grillo, Christoph Hertrich, Georg Loho
GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial Data
Gleb Bazhenov, Oleg Platonov, Liudmila Prokhorenkova
Generative Pre-trained Autoregressive Diffusion Transformer
Yuan Zhang, Jiacheng Jiang, Guoqing Ma et al.
Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents
Yaxin Luo, Zhaoyi Li, Jiacheng Liu et al.
DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance
Maximilian Du, Shuran Song
Root Cause Analysis of Outliers with Missing Structural Knowledge
William Roy Orchard, Nastaran Okati, Sergio Garrido Mejia et al.
Lifelong Safety Alignment for Language Models
Haoyu Wang, Yifei Zhao, Zeyu Qin et al.
CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
Rui Li, Zeyu Zhang, Xiaohe Bo et al.
From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring
Yang Li, Qiang Sheng, Yehan Yang et al.
Beyond Verifiable Rewards: Scaling Reinforcement Learning in Language Models to Unverifiable Data
Yunhao Tang, Sid Wang, Lovish Madaan et al.
NOVA: A Benchmark for Rare Anomaly Localization and Clinical Reasoning in Brain MRI
Cosmin Bercea, Jun Li, Philipp Raffler et al.
Value-Guided Search for Efficient Chain-of-Thought Reasoning
Kaiwen Wang, Jin Zhou, Jonathan Chang et al.
Janus-Pro-R1: Advancing Collaborative Visual Comprehension and Generation via Reinforcement Learning
Kaihang Pan, Yang Wu, Wendong Bu et al.
Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners
Michal Nauman, Marek Cygan, Carmelo Sferrazza et al.
UltraHR-100K: Enhancing UHR Image Synthesis with A Large-Scale High-Quality Dataset
Chen Zhao, En Ci, Yunzhe Xu et al.
Generative RLHF-V: Learning Principles from Multi-modal Human Preference
Jiayi Zhou, Jiaming Ji, Boyuan Chen et al.
HAIF-GS: Hierarchical and Induced Flow-Guided Gaussian Splatting for Dynamic Scene
Jianing Chen, Zehao Li, Yujun Cai et al.
HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance
Jiazi Bu, Pengyang Ling, Yujie Zhou et al.
Stable Port-Hamiltonian Neural Networks
Fabian J. Roth, Dominik K. Klein, Maximilian Kannapinn et al.
Zebra-Llama: Towards Extremely Efficient Hybrid Models
Mingyu Yang, Mehdi Rezagholizadeh, Guihong Li et al.
Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution
Zhanyi Sun, Shuran Song
ConTextTab: A Semantics-Aware Tabular In-Context Learner
Marco Spinaci, Marek Polewczyk, Maximilian Schambach et al.
SnapMoGen: Human Motion Generation from Expressive Texts
chuan guo, Inwoo Hwang, Jian Wang et al.
JAFAR: Jack up Any Feature at Any Resolution
Paul Couairon, Loïck Chambon, Louis Serrano et al.
Rethinking Verification for LLM Code Generation: From Generation to Testing
Zihan Ma, Taolin Zhang, Maosongcao et al.
DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving
Shuyao Shang, Yuntao Chen, Yuqi Wang et al.
Geometry Aware Operator Transformer as an efficient and accurate neural surrogate for PDEs on arbitrary domains
Shizheng Wen, Arsh Kumbhat, Levi Lingsch et al.
Don't Just Chase “Highlighted Tokens” in MLLMs: Revisiting Visual Holistic Context Retention
Xin Zou, Di Lu, Yizhou Wang et al.
Enhancing 3D Reconstruction for Dynamic Scenes
Jisang Han, Honggyu An, Jaewoo Jung et al.
Straight-Line Diffusion Model for Efficient 3D Molecular Generation
Yuyan Ni, Shikun Feng, Haohan Chi et al.
Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning
Yang Xu, Washim Mondal, Vaneet Aggarwal
GSRF: Complex-Valued 3D Gaussian Splatting for Efficient Radio-Frequency Data Synthesis
Kang Yang, Gaofeng Dong, Sijie Ji et al.
What Do Latent Action Models Actually Learn?
Chuheng Zhang, Tim Pearce, Pushi Zhang et al.
MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement
Jaehyun Nam, Jinsung Yoon, Jiefeng Chen et al.
Neighborhood Self-Dissimilarity Attention for Medical Image Segmentation
Junren Chen, Rui Chen, Wei Wang et al.
Object-centric binding in Contrastive Language-Image Pretraining
Rim Assouel, Pietro Astolfi, Florian Bordes et al.
Privacy amplification by random allocation
Moshe Shenfeld, Vitaly Feldman
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
Wenzhuo Tang, Haitao Mao, Danial Dervovic et al.
EchoShot: Multi-Shot Portrait Video Generation
Jiahao Wang, Hualian Sheng, Sijia Cai et al.
Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation
Nanxu Gong, Zijun Li, Sixun Dong et al.
Among Us: A Sandbox for Measuring and Detecting Agentic Deception
Satvik Golechha, Adrià Garriga-Alonso
MimeQA: Towards Socially-Intelligent Nonverbal Foundation Models
Hengzhi Li, Megan Tjandrasuwita, Yi R. (May) Fung et al.
Chiron-o1: Igniting Multimodal Large Language Models towards Generalizable Medical Reasoning via Mentor-Intern Collaborative Search
Haoran Sun, Yankai Jiang, Wenjie Lou et al.
On the Relation between Rectified Flows and Optimal Transport
Johannes Hertrich, Antonin Chambolle, Julie Delon
Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents
Han Lin, Jaemin Cho, Amir Zadeh et al.
ReDit: Reward Dithering for Improved LLM Policy Optimization
Chenxing Wei, Jiarui Yu, Ying He et al.
Seeking and Updating with Live Visual Knowledge
Mingyang Fu, Yuyang Peng, Dongping Chen et al.
Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers
Kazuki Irie, Morris Yau, Samuel J Gershman
Jailbreak-AudioBench: In-Depth Evaluation and Analysis of Jailbreak Threats for Large Audio Language Models
Hao Cheng, Erjia Xiao, Jing Shao et al.
Manipulating Feature Visualizations with Gradient Slingshots
Dilyara Bareeva, Marina Höhne, Alexander Warnecke et al.
DMWM: Dual-Mind World Model with Long-Term Imagination
Lingyi Wang, Rashed Shelim, Walid Saad et al.
Noise Injection Reveals Hidden Capabilities of Sandbagging Language Models
Cameron Tice, Philipp Kreer, Nathan Helm-Burger et al.
Generative Graph Pattern Machine
Zehong Wang, Zheyuan Zhang, Tianyi Ma et al.
FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models
Jintao Tong, Wenwei Jin, Pengda Qin et al.
Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning
Yu Zhang, Jialei Zhou, Xinchen Li et al.
Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting
Wei Chen, Yuxuan Liang
Towards Doctor-Like Reasoning: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients
Yuxing Lu, Gecheng Fu, Wei Wu et al.
Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs
Yaniv Nikankin, Dana Arad, Yossi Gandelsman et al.
Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations
Brian Zheng, Alisa Liu, Orevaoghene Ahia et al.
SteerConf: Steering LLMs for Confidence Elicitation
Ziang Zhou, Tianyuan Jin, Jieming Shi et al.
Token Perturbation Guidance for Diffusion Models
Javad Rajabi, Soroush Mehraban, Seyedmorteza Sadat et al.
Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs
Hao Fang, Changle Zhou, Jiawei Kong et al.
Statistically Valid Post-Deployment Monitoring Should Be Standard for AI-Based Digital Health
Pavel Dolin, Weizhi Li, Gautam Dasarathy et al.
LibriBrain: Over 50 Hours of Within-Subject MEG to Improve Speech Decoding Methods at Scale
Miran Özdogan, Gilad Landau, Gereon Elvers et al.
MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems
Xuanming Zhang, Yuxuan Chen, Samuel (Min-Hsuan) Yeh et al.
HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning
Zhi Jing, Siyuan Yang, Jicong Ao et al.
Týr-the-Pruner: Structural Pruning LLMs via Global Sparsity Distribution Optimization
Guanchen Li, Yixing Xu, Zeping Li et al.
On scalable and efficient training of diffusion samplers
Minkyu Kim, Kiyoung Seong, Dongyeop Woo et al.
T2V-OptJail: Discrete Prompt Optimization for Text-to-Video Jailbreak Attacks
Jiayang Liu, Siyuan Liang, Shiqian Zhao et al.
Critical Batch Size Revisited: A Simple Empirical Approach to Large-Batch Language Model Training
Will Merrill, Shane Arora, Dirk Groeneveld et al.
RIGNO: A Graph-based Framework For Robust And Accurate Operator Learning For PDEs On Arbitrary Domains
Sepehr Mousavi, Shizheng Wen, Levi Lingsch et al.
CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow Matching
Leying Zhang, Yao Qian, Xiaofei Wang et al.
Video Perception Models for 3D Scene Synthesis
Rui Huang, Guangyao Zhai, Zuria Bauer et al.
Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models
Benjamin Walker, Lingyi Yang, Nicola Muca Cirone et al.
SceneSplat++: A Large Dataset and Comprehensive Benchmark for Language Gaussian Splatting
Mengjiao Ma, Qi Ma, Yue Li et al.
LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers
Yusuf Dalva, Hidir Yesiltepe, Pinar Yanardag
TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs
Yunheng Li, Jing Cheng, Shaoyong Jia et al.
CausalPFN: Amortized Causal Effect Estimation via In-Context Learning
Vahid Balazadeh, Hamidreza Kamkari, Valentin Thomas et al.
1000+ FPS 4D Gaussian Splatting for Dynamic Scene Rendering
Yuheng Yuan, Qiuhong Shen, Xingyi Yang et al.
Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical Evidence
Shaopeng Fu, Liang Ding, Jingfeng ZHANG et al.
Dense SAE Latents Are Features, Not Bugs
Xiaoqing Sun, Alessandro Stolfo, Joshua Engels et al.
Split Gibbs Discrete Diffusion Posterior Sampling
Wenda Chu, Zihui Wu, Yifan Chen et al.
Dynamical Low-Rank Compression of Neural Networks with Robustness under Adversarial Attacks
Steffen Schotthöfer, Lexie Yang, Stefan Schnake
Test3R: Learning to Reconstruct 3D at Test Time
Yuheng Yuan, Qiuhong Shen, Shizun Wang et al.
SimpleStrat: Diversifying Language Model Generation with Stratification
Justin Wong, Yury Orlovskiy, Alexander Shypula et al.
Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning
Roger Creus Castanyer, Johan Obando Ceron, Lu Li et al.
Decompile-Bench: Million-Scale Binary-Source Function Pairs for Real-World Binary Decompilation
hanzhuo tan, Xiaolong Tian, Hanrui Qi et al.
Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding
Xiaoqian Shen, Wenxuan Zhang, Jun Chen et al.
Improving Energy Natural Gradient Descent through Woodbury, Momentum, and Randomization
Andrés Guzmán-Cordero, Felix Dangel, Gil Goldshlager et al.
Estimating Model Performance Under Covariate Shift Without Labels
Jakub Białek, Juhani Kivimäki, Wojciech Kuberski et al.
OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene Understanding
Jingli Lin, Chenming Zhu, Runsen Xu et al.
Scaffolding Dexterous Manipulation with Vision-Language Models
Vincent de Bakker, Joey Hejna, Tyler Lum et al.
Fused View-Time Attention and Feedforward Reconstruction for 4D Scene Generation
Chaoyang Wang, Ashkan Mirzaei, Vidit Goel et al.
Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning
Ali Taghibakhshi, Sharath Turuvekere Sreenivas, Saurav Muralidharan et al.
BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models
Evan Antoniuk, Shehtab Zaman, Tal Ben-Nun et al.
Parameter Efficient Fine-tuning via Explained Variance Adaptation
Fabian Paischer, Lukas Hauzenberger, Thomas Schmied et al.
Seg4Diff: Unveiling Open-Vocabulary Semantic Segmentation in Text-to-Image Diffusion Transformers
Chaehyun Kim, Heeseong Shin, Eunbeen Hong et al.
EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World?
Yuqian Yuan, Ronghao Dang, long li et al.
Attention Mechanism, Max-Affine Partition, and Universal Approximation
Hude Liu, Jerry Yao-Chieh Hu, Zhao Song et al.
Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for and with Foundation Models
Daoyuan Chen, Yilun Huang, Xuchen Pan et al.
BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals
Qinfan Xiao, Ziyun Cui, Chi Zhang et al.
Time Travel is Cheating: Going Live with DeepFund for Real-Time Fund Investment Benchmarking
Changlun Li, Yao SHI, Chen Wang et al.
Probabilistic Stability Guarantees for Feature Attributions
Helen Jin, Anton Xue, Weiqiu You et al.
Audio Super-Resolution with Latent Bridge Models
Chang Li, Zehua Chen, Liyuan Wang et al.
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation
Jiashuo Sun, Xianrui Zhong, Sizhe Zhou et al.
ZPressor: Bottleneck-Aware Compression for Scalable Feed-Forward 3DGS
Weijie Wang, Donny Y. Chen, Zeyu Zhang et al.
Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness
Rongzhe Wei, Peizhi Niu, Hans Hao-Hsun Hsu et al.
Understanding Adam Requires Better Rotation Dependent Assumptions
Tianyue Zhang, Lucas Maes, Alan Milligan et al.
HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models
Yu Zhou, Xingyu Wu, Jibin Wu et al.
Large Language Models Think Too Fast To Explore Effectively
Lan Pan, Hanbo Xie, Robert Wilson
StreamForest: Efficient Online Video Understanding with Persistent Event Memory
Xiangyu Zeng, Kefan Qiu, Qingyu Zhang et al.
Space Group Equivariant Crystal Diffusion
Rees Chang, Angela Pak, Alex Guerra et al.
The emergence of sparse attention: impact of data distribution and benefits of repetition
Nicolas Zucchet, Francesco D'Angelo, Andrew Lampinen et al.
Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA
Shuangyi Chen, Yuanxin Guo, Yue Ju et al.
Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection
Herun Wan, Jiaying Wu, Minnan Luo et al.
DyMU: Dynamic Merging and Virtual Unmerging for Efficient Variable-Length VLMs
Zhenhailong Wang, Senthil Purushwalkam, Caiming Xiong et al.
SoPo: Text-to-Motion Generation Using Semi-Online Preference Optimization
Xiaofeng Tan, Hongsong Wang, Xin Geng et al.
A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search
Arnav Kumar Jain, Vibhakar Mohta, Subin Kim et al.
Prediction-Powered Causal Inferences
Riccardo Cadei, Ilker Demirel, Piersilvio De Bartolomeis et al.
Provable Scaling Laws for the Test-Time Compute of Large Language Models
Yanxi Chen, Xuchen Pan, Yaliang Li et al.
On the Value of Cross-Modal Misalignment in Multimodal Representation Learning
Yichao Cai, Yuhang Liu, Erdun Gao et al.
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
Mingzhe Du, Anh Tuan Luu, Yue Liu et al.
Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers
Zhengliang Shi, Lingyong Yan, Dawei Yin et al.
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
Benjamin Dupuis, Paul Viallard, George Deligiannidis et al.
LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object Integration
Yuyao Zhang, Jinghao Li, Yu-Wing Tai
Benign Overfitting in Single-Head Attention
Roey Magen, Shuning Shang, Zhiwei Xu et al.
DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy
Yuran Wang, Ruihai Wu, Yue Chen et al.
T-SHIRT: Token-Selective Hierarchical Data Selection for Instruction Tuning
Yanjun Fu, Faisal Hamman, Sanghamitra Dutta
Fast Inference for Augmented Large Language Models
Rana Shahout, Cong Liang, Shiji Xin et al.
ConStellaration: A dataset of QI-like stellarator plasma boundaries and optimization benchmarks
Santiago Cadena, Andrea Merlo, Emanuel Laude et al.
SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training
Yehonathan Refael, Guy Smorodinsky, Tom Tirer et al.
Walking the Tightrope: Autonomous Disentangling Beneficial and Detrimental Drifts in Non-Stationary Custom-Tuning
Xiaoyu Yang, Jie Lu, En Yu
Simultaneous Swap Regret Minimization via KL-Calibration
Haipeng Luo, Spandan Senapati, Vatsal Sharan
Momentum Multi-Marginal Schrödinger Bridge Matching
Panagiotis Theodoropoulos, Augustinos Saravanos, Evangelos Theodorou et al.
The Persistence of Neural Collapse Despite Low-Rank Bias
Connall Garrod, Jonathan Keating
Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation
Liliang Ren, Congcong Chen, Haoran Xu et al.
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
Xiao Li, Zekai Zhang, Xiang Li et al.
Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data
Zhenqing Ling, Daoyuan Chen, Liuyi Yao et al.
Probing Equivariance and Symmetry Breaking in Convolutional Networks
Sharvaree Vadgama, Mohammad Islam, Domas Buracas et al.
Multimodal Tabular Reasoning with Privileged Structured Information
Jun-Peng Jiang, Yu Xia, Hai-Long Sun et al.
Tracing the Representation Geometry of Language Models from Pretraining to Post-training
Melody Li, Kumar Krishna Agrawal, Arna Ghosh et al.
Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series
Ching Chang, Jeehyun Hwang, Yidan Shi et al.
Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology
Wenhao Tang, Rong Qin, Heng Fang et al.
Thousand Voices of Trauma: A Large-Scale Synthetic Dataset for Modeling Prolonged Exposure Therapy Conversations
Suhas BN, Andrew Sherrill, Rosa I. Arriaga et al.
Orientation Matters: Making 3D Generative Models Orientation-Aligned
Yichong Lu, Yuzhuo Tian, Zijin Jiang et al.
Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis
Yunwei Ren, Jason Lee
DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis?
Tianhong Zhou, xu yin, Yingtao Zhu et al.
Direct Numerical Layout Generation for 3D Indoor Scene Synthesis via Spatial Reasoning
Xingjian Ran, Yixuan Li, Linning Xu et al.
Scaling Physical Reasoning with the PHYSICS Dataset
Shenghe Zheng, Qianjia Cheng, Junchi Yao et al.
Distillation Robustifies Unlearning
Bruce W, Lee, Addie Foote, Alex Infanger et al.
ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code
Tianyu Hua, Harper Hua, Violet Xiang et al.
Co-Reinforcement Learning for Unified Multimodal Understanding and Generation
Jingjing Jiang, Chongjie Si, Jun Luo et al.
BEDLAM2.0: Synthetic humans and cameras in motion
Joachim Tesch, Giorgio Becherini, Prerana Achar et al.
MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds
Bingquan Dai, Luo Li, Qihong Tang et al.
CAT: Content-Adaptive Image Tokenization
Junhong Shen, Kushal Tirumala, Michihiro Yasunaga et al.
Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections
Xiaomeng Xu, Yifan Hou, Zeyi Liu et al.
AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs?
Ori Press, Brandon Amos, Haoyu Zhao et al.
LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits
Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin et al.
Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling
Tianyi Tan, Yinan Zheng, Ruiming Liang et al.
MEGADance: Mixture-of-Experts Architecture for Genre-Aware 3D Dance Generation
kaixing yang, Xulong Tang, Ziqiao Peng et al.
On Union-Closedness of Language Generation
Steve Hanneke, Amin Karbasi, Anay Mehrotra et al.
What Matters in Data for DPO?
Yu Pan, Zhongze Cai, Huaiyang Zhong et al.
COME: Adding Scene-Centric Forecasting Control to Occupancy World Model
Yining Shi, Kun Jiang, Qiang Meng et al.
EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data
Ryan Punamiya, Dhruv Patel, Patcharapong Aphiwetsa et al.
Predicting Empirical AI Research Outcomes with Language Models
Jiaxin Wen, Chenglei Si, Yueh-Han Chen et al.
We Should Chart an Atlas of All the World's Models
Eliahu Horwitz, Nitzan Kurer, Jonathan Kahana et al.
Causally Reliable Concept Bottleneck Models
Giovanni De Felice, Arianna Casanova Flores, Francesco De Santis et al.
On Extending Direct Preference Optimization to Accommodate Ties
Jinghong Chen, Guangyu Yang, Weizhe Lin et al.
Vid-SME: Membership Inference Attacks against Large Video Understanding Models
Qi Li, Runpeng Yu, Xinchao Wang
MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants
Hritik Bansal, Daniel Israel, Siyan Zhao et al.
Why Do Some Language Models Fake Alignment While Others Don't?
Abhay Sheshadri, John Hughes, Julian Michael et al.
Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings
Qiong Wu, Wenhao Lin, Yiyi Zhou et al.
Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent
Tong Yang, Yu Huang, Yingbin Liang et al.
RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts
Xuming He, Zhiyuan You, Junchao Gong et al.
WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception
Zhiheng Liu, Xueqing Deng, Shoufa Chen et al.
MINGLE: Mixture of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging
Zihuan Qiu, Yi Xu, Chiyuan He et al.
SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing
Mingfei Chen, Zijun Cui, Xiulong Liu et al.
Convergence of Clipped SGD on Convex $(L_0,L_1)$-Smooth Functions
Ofir Gaash, Kfir Y. Levy, Yair Carmon
Scaling Offline RL via Efficient and Expressive Shortcut Models
Nicolas Espinosa-Dice, Yiyi Zhang, Yiding Chen et al.
FlexEvent: Towards Flexible Event-Frame Object Detection at Varying Operational Frequencies
Dongyue Lu, Lingdong Kong, Gim Hee Lee et al.
Hybrid Latent Reasoning via Reinforcement Learning
Zhenrui Yue, Bowen Jin, Huimin Zeng et al.
EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity Understanding
Ege Özsoy, Arda Mamur, Felix Tristram et al.
Curly Flow Matching for Learning Non-gradient Field Dynamics
Katarina Petrović, Lazar Atanackovic, Viggo Moro et al.
Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs
ChangHao Li, Yuchen Zhuang, Rushi Qiang et al.
When Are Concepts Erased From Diffusion Models?
Kevin Lu, Nicky Kriplani, Rohit Gandikota et al.
PanoWan: Lifting Diffusion Video Generation Models to 360$^\circ$ with Latitude/Longitude-aware Mechanisms
Yifei Xia, Shuchen Weng, Siqi Yang et al.
Integral Imprecise Probability Metrics
Siu Lun (Alan) Chau, Michele Caprio, Krikamol Muandet
From Bytes to Ideas: Language Modeling with Autoregressive U-Nets
Mathurin VIDEAU, Badr Youbi Idrissi, Alessandro Leite et al.
Attractive Metadata Attack: Inducing LLM Agents to Invoke Malicious Tools
Kanghua Mo, Li Hu, Yucheng Long et al.
VeriThoughts: Enabling Automated Verilog Code Generation using Reasoning and Formal Verification
Patrick Yubeaton, Andre Nakkab, Weihua Xiao et al.
SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL
Yue Gong, Chuan Lei, Xiao Qin et al.
MindGYM: What Matters in Question Synthesis for Thinking-Centric Fine-Tuning?
Zhe Xu, Daoyuan Chen, Zhenqing Ling et al.
Constrained Optimization From a Control Perspective via Feedback Linearization
Runyu Zhang, Arvind Raghunathan, Jeff Shamma et al.
True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
Christoph Jürgen Hemmer, Daniel Durstewitz
The Fluorescent Veil: A Stealthy and Effective Physical Adversarial Patch Against Traffic Sign Recognition
Shuai Yuan, Xingshuo Han, Hongwei Li et al.
Spiral: Semantic-Aware Progressive LiDAR Scene Generation and Understanding
Dekai Zhu, Yixuan Hu, Youquan Liu et al.
Improved Balanced Classification with Theoretically Grounded Loss Functions
Corinna Cortes, Mehryar Mohri, Yutao Zhong