Most Cited NEURIPS "unconditional video generation" Papers

SafePTR: Token-Level Jailbreak Defense in Multimodal LLMs via Prune-then-Restore Mechanism

Beitao Chen, Xinyu Lyu, shengming yuan et al.

KL Penalty Control via Perturbation for Direct Preference Optimization

Sangkyu Lee, Janghoon Han, Hosung Song et al.

Rethinking Circuit Completeness in Language Models: AND, OR, and ADDER Gates

Hang Chen, Jiaying Zhu, Xinyu Yang et al.

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

How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning

Haotian Gao, Zheng Dong, Jiawei Yong et al.

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

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

Making Classic GNNs Strong Baselines Across Varying Homophily: A Smoothness–Generalization Perspective

Ming Gu, Zhuonan Zheng, Sheng Zhou et al.

Differentiation Through Black-Box Quadratic Programming Solvers

Connor Magoon, Fengyu Yang, Noam Aigerman et al.

$\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning

Simone Ricci, Niccolò Biondi, Federico Pernici et al.

Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties

Jiyoung Lee, Seungho Kim, Jieun Han et al.

Discretization-free Multicalibration through Loss Minimization over Tree Ensembles

Hongyi Henry Jin, Zijun Ding, Dung Daniel Ngo et al.

Next Semantic Scale Prediction via Hierarchical Diffusion Language Models

Cai Zhou, Chenyu Wang, Dinghuai Zhang et al.

Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search

Sebastian Bruch, Aditya Krishnan, Franco Maria Nardini

Guiding LLM Decision-Making with Fairness Reward Models

Zara Hall, Melanie Subbiah, Thomas Zollo et al.

Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM

Xiaoyu Wu, Yifei Pang, Terrance Liu et al.

Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness

Stephen Pfohl, Natalie Harris, Chirag Nagpal et al.

Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings

Yehya Farhat, Hamza ElMokhtar Shili, Fangshuo Liao et al.

Visual Instruction Bottleneck Tuning

Changdae Oh, Jiatong Li, Shawn Im et al.

Precise Information Control in Long-Form Text Generation

Jacqueline He, Howard Yen, Margaret Li et al.

RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills

Chunru Lin, Haotian Yuan, Yian Wang et al.

Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler

Zixuan Hu, Li Shen, Zhenyi Wang et al.

Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos

Junyi Wu, Jiachen Tao, Haoxuan Wang et al.

Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks

Ruijia Liu, Ancheng Hou, Xiao Yu et al.

Towards a Golden Classifier-Free Guidance Path via Foresight Fixed Point Iterations

Kaibo Wang, Jianda Mao, Tong Wu et al.

JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models

Jiaxin Song, Yixu Wang, Jie Li et al.

Cognitive Mirrors: Exploring the Diverse Functional Roles of Attention Heads in LLM Reasoning

Xueqi Ma, Jun Wang, Yanbei Jiang et al.

Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown

Emile Anand, Sarah Liaw

Quantifying Cross-Modality Memorization in Vision-Language Models

Yuxin Wen, Yangsibo Huang, Tom Goldstein et al.

GradMetaNet: An Equivariant Architecture for Learning on Gradients

Yoav Gelberg, Yam Eitan, Aviv Navon et al.

Learning from positive and unlabeled examples -Finite size sample bounds

Farnam Mansouri, Shai Ben-David

MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning

Hongjia Liu, Rongzhen Zhao, Haohan Chen et al.

AdaLRS: Loss-Guided Adaptive Learning Rate Search for Efficient Foundation Model Pretraining

Hongyuan Dong, Dingkang Yang, Xiao Liang et al.

Attention Sinks: A 'Catch, Tag, Release' Mechanism for Embeddings

Stephen Zhang, Mustafa Khan, Vardan Papyan

Revisiting Semi-Supervised Learning in the Era of Foundation Models

Ping Zhang, Zheda Mai, Quang-Huy (Percy) Nguyen et al.

Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations

Peng Lai, Jianjie Zheng, Sijie Cheng et al.

Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization

Subhojyoti Mukherjee, Viet Lai, Raghavendra Addanki et al.

Can We Infer Confidential Properties of Training Data from LLMs?

Pengrun Huang, Chhavi Yadav, Kamalika Chaudhuri et al.

Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search

Yanbo Wang, Zixiang Xu, Yue Huang et al.

ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation

Yunhong Min, Daehyeon Choi, Kyeongmin Yeo et al.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation

Jingyuan Qi, Zhiyang Xu, Qifan Wang et al.

I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactions

Shuhong Liu, Lin Gu, Ziteng Cui et al.

Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable

Bicheng Ying, Zhe Li, Haibo Yang

ARMesh: Autoregressive Mesh Generation via Next-Level-of-Detail Prediction

Jiabao Lei, Kewei Shi, Zhihao Liang et al.

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis

Hengyuan Cao, Yutong Feng, Biao Gong et al.

Performative Validity of Recourse Explanations

Gunnar König, Hidde Fokkema, Timo Freiesleben et al.

GeoVideo: Introducing Geometric Regularization into Video Generation Model

Yunpeng Bai, Shaoheng Fang, Chaohui Yu et al.

LabelAny3D: Label Any Object 3D in the Wild

Jin Yao, Radowan Mahmud Redoy, Sebastian Elbaum et al.

VFRTok: Variable Frame Rates Video Tokenizer with Duration-Proportional Information Assumption

Tianxiong Zhong, Xingye Tian, Boyuan Jiang et al.

Dynamic View Synthesis as an Inverse Problem

Hidir Yesiltepe, Pinar Yanardag

LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders

Boyu Han, Qianqian Xu, Shilong Bao et al.

TITAN: A Trajectory-Informed Technique for Adaptive Parameter Freezing in Large-Scale VQE

Yifeng Peng, Xinyi Li, Samuel Yen-Chi Chen et al.

Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models

Taha Entesari, Arman Hatami, Rinat Khaziev et al.

Continual Release Moment Estimation with Differential Privacy

Nikita Kalinin, Jalaj Upadhyay, Christoph Lampert

SMMILE: An expert-driven benchmark for multimodal medical in-context learning

Melanie Rieff, Maya Varma, Ossian Rabow et al.

BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent

Shaojie Zhang, Ruoceng Zhang, Pei Fu et al.

Convergent Functions, Divergent Forms

Hyeonseong Jeon, Ainaz Eftekhar, Aaron Walsman et al.

ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism

Zedong Liu, Shenggan Cheng, Guangming Tan et al.

SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens

Yinhan He, Wendy Zheng, Yaochen Zhu et al.

Deep learning for continuous-time stochastic control with jumps

Patrick Cheridito, Jean-Loup Dupret, Donatien Hainaut

Learning to Better Search with Language Models via Guided Reinforced Self-Training

Seungyong Moon, Bumsoo Park, Hyun Oh Song

BRACE: A Benchmark for Robust Audio Caption Quality Evaluation

Tianyu Guo, Hongyu Chen, Hao Liang et al.

C-NAV: Towards Self-Evolving Continual Object Navigation in Open World

MingMing Yu, Fei Zhu, Wenzhuo Liu et al.

Reparameterized LLM Training via Orthogonal Equivalence Transformation

Zeju Qiu, Simon Buchholz, Tim Xiao et al.

Replicable Online Learning

Saba Ahmadi, Siddharth Bhandari, Avrim Blum

Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions

Hidde Fokkema, Tim van Erven, Sara Magliacane

Seeing What Matters: Generalizable AI-generated Video Detection with Forensic-Oriented Augmentation

Riccardo Corvi, Davide Cozzolino, Ekta Prashnani et al.

Value Gradient Guidance for Flow Matching Alignment

Zhen Liu, Tim Xiao, Carles Domingo i Enrich et al.

Aligning Transformers with Continuous Feedback via Energy Rank Alignment

Shriram Chennakesavalu, Frank Hu, Sebastian Ibarraran et al.

Learning long range dependencies through time reversal symmetry breaking

Guillaume Pourcel, Maxence Ernoult

Composing Global Solutions to Reasoning Tasks via Algebraic Objects in Neural Nets

Yuandong Tian

Cascaded Language Models for Cost-Effective Human–AI Decision-Making

Claudio Fanconi, Mihaela van der Schaar

Ask a Strong LLM Judge when Your Reward Model is Uncertain

Zhenghao Xu, Qin Lu, Qingru Zhang et al.

Just One Layer Norm Guarantees Stable Extrapolation

Juliusz Ziomek, George Whittle, Michael A Osborne

Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training

Shuo Cheng, Liqian Ma, Zhenyang Chen et al.

Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization

Sunay Joshi, Shayan Kiyani, George J. Pappas et al.

JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model

Qihao Duan, Bingding Huang, Zhenqiao Song et al.

Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention

Arya Honarpisheh, Mustafa Bozdag, Octavia Camps et al.

Who Reasons in the Large Language Models?

Jie Shao, Jianxin Wu

BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation

Rishal Aggarwal, Jacky Chen, Nicholas Boffi et al.

SHAP values via sparse Fourier representation

Ali Gorji, Andisheh Amrollahi, Andreas Krause

Measuring Scientific Capabilities of Language Models with a Systems Biology Dry Lab

Haonan Duan, Stephen Lu, Caitlin F Harrigan et al.

IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation

Yuanze Lin, Yi-Wen Chen, Yi-Hsuan Tsai et al.

FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models

Xuan Liu, Siru Ouyang, Xianrui Zhong et al.

MV-CoLight: Efficient Object Compositing with Consistent Lighting and Shadow Generation

Kerui Ren, Jiayang Bai, Linning Xu et al.

Martingale Score: An Unsupervised Metric for Bayesian Rationality in LLM Reasoning

Zhonghao He, Tianyi (Alex) Qiu, Hirokazu Shirado et al.

TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception

Runjian Chen, Hyoungseob Park, Bo Zhang et al.

Uni-LoRA: One Vector is All You Need

Kaiyang Li, Shaobo Han, Qing Su et al.

How Well Can Differential Privacy Be Audited in One Run?

Amit Keinan, Moshe Shenfeld, Katrina Ligett

SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning

Weijian Mai, Jiamin Wu, Yu Zhu et al.

VITRIX-UniViTAR: Unified Vision Transformer with Native Resolution

Limeng Qiao, Yiyang Gan, Bairui Wang et al.

Evaluating multiple models using labeled and unlabeled data

Divya Shanmugam, Shuvom Sadhuka, Manish Raghavan et al.

BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset

Zhiheng Xi, Guanyu Li, Yutao Fan et al.

Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models

Siwei Zhang, Yun Xiong, Yateng Tang et al.

SkyLadder: Better and Faster Pretraining via Context Window Scheduling

Tongyao Zhu, Qian Liu, Haonan Wang et al.

Benford’s Curse: Tracing Digit Bias to Numerical Hallucination in LLMs

Jiandong Shao, Yao Lu, Jianfei Yang

Over-squashing in Spatiotemporal Graph Neural Networks

Ivan Marisca, Jacob Bamberger, Cesare Alippi et al.

MEgoHand: Multimodal Egocentric Hand-Object Interaction Motion Generation

Bohan Zhou, Yi Zhan, Zhongbin Zhang et al.

AutoJudge: Judge Decoding Without Manual Annotation

Roman Garipov, Fedor Velikonivtsev, Ivan Ermakov et al.

Free-Lunch Color-Texture Disentanglement for Stylized Image Generation

Jiang Qin, Alexandra Gomez-Villa, Senmao Li et al.

STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking

Sicheng Shen, Dongcheng Zhao, Linghao Feng et al.

Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm

Yang Xu, Swetha Ganesh, Washim Mondal et al.

Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning

Tianyi Bai, Yuxuan Fan, Qiu Jiantao et al.

PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization

Federico Berto, Chuanbo Hua, Laurin Luttmann et al.

VQToken: Neural Discrete Token Representation Learning for Extreme Token Reduction in Video Large Language Models

Haichao Zhang, Yun Fu

A machine learning approach that beats Rubik's cubes

Alexander Chervov, Kirill Khoruzhii, Nikita Bukhal et al.

E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models

Jiaheng Dong, Hong Jia, Soumyajit Chatterjee et al.

Learning (Approximately) Equivariant Networks via Constrained Optimization

Andrei Manolache, Luiz Chamon, Mathias Niepert

Reading Recognition in the Wild

Charig Yang, Samiul Alam, Shakhrul Iman Siam et al.

Self-Refining Language Model Anonymizers via Adversarial Distillation

Kyuyoung Kim, Hyunjun Jeon, Jinwoo Shin

BlockScan: Detecting Anomalies in Blockchain Transactions

Jiahao Yu, Xian Wu, Hao Liu et al.

Traversal Verification for Speculative Tree Decoding

Yepeng Weng, Qiao Hu, Xujie Chen et al.

T2SMark: Balancing Robustness and Diversity in Noise-as-Watermark for Diffusion Models

Jindong Yang, Han Fang, Weiming Zhang et al.

BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning

Hongyi Zhou, Weiran Liao, Xi Huang et al.

Parallelizing MCMC Across the Sequence Length

David Zoltowski, Skyler Wu, Xavier Gonzalez et al.

Multipole Attention for Efficient Long Context Reasoning

Coleman Hooper, Sebastian Zhao, Luca Manolache et al.

On the Coexistence and Ensembling of Watermarks

Aleksandar Petrov, Shruti Agarwal, Philip Torr et al.

Language Modeling by Language Models

Junyan Cheng, Peter Clark, Kyle Richardson

Second-Order Convergence in Private Stochastic Non-Convex Optimization

Youming Tao, Zuyuan Zhang, Dongxiao Yu et al.

Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning

Haoran Li, CHENHAN XIAO, Muhao Guo et al.

MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention

Can Yaras, Alec Xu, Pierre Abillama et al.

STEER-ME: Assessing the Microeconomic Reasoning of Large Language Models

Narun Raman, Taylor Lundy, Thiago Amin et al.

Mixture-of-Experts Meets In-Context Reinforcement Learning

Wenhao Wu, Fuhong Liu, Haoru Li et al.

LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding

Yuchen Ma, Dennis Frauen, Jonas Schweisthal et al.

Efficient Rectified Flow for Image Fusion

Zirui Wang, Jiayi Zhang, Tianwei Guan et al.

MMMG: A Massive, Multidisciplinary, Multi-Tier Generation Benchmark for Text-to-Image Reasoning

Yuxuan Luo, Ryan Yuan, Junwen Chen et al.

DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection

Yingli Shen, Wen Lai, Shuo Wang et al.

HoliGS: Holistic Gaussian Splatting for Embodied View Synthesis

Xiaoyuan Wang, Yizhou Zhao, Botao Ye et al.

Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables

Yu Gui, Cong Ma, Zongming Ma

Contrastive Representations for Temporal Reasoning

Alicja Ziarko, Michał Bortkiewicz, Michał Zawalski et al.

Stackelberg Self-Annotation: A Robust Approach to Data-Efficient LLM Alignment

Chu Xu, Zhixin Zhang, Tianyu Jia et al.

Seeing in the Dark: Benchmarking Egocentric 3D Vision with the Oxford Day-and-Night Dataset

Zirui Wang, Wenjing Bian, Xinghui Li et al.

CineTechBench: A Benchmark for Cinematographic Technique Understanding and Generation

Xinran Wang, Songyu Xu, Shan Xiangxuan et al.

Emergence of Linear Truth Encodings in Language Models

Shauli Ravfogel, Gilad Yehudai, Tal Linzen et al.

RePO: Understanding Preference Learning Through ReLU-Based Optimization

Junkang Wu, Kexin Huang, xue wang et al.

R-KV: Redundancy-aware KV Cache Compression for Reasoning Models

Zefan Cai, Wen Xiao, Hanshi Sun et al.

Monitoring Risks in Test-Time Adaptation

Mona Schirmer, Metod Jazbec, Christian Andersson Naesseth et al.

Second-order Optimization under Heavy-Tailed Noise: Hessian Clipping and Sample Complexity Limits

Abdurakhmon Sadiev, Peter Richtarik, Ilyas Fatkhullin

Learning to price with resource constraints: from full information to machine-learned prices

Ruicheng Ao, Jiashuo Jiang, David Simchi-Levi

Credal Prediction based on Relative Likelihood

Timo Löhr, Paul Hofman, Felix Mohr et al.

Wide-Horizon Thinking and Simulation-Based Evaluation for Real-World LLM Planning with Multifaceted Constraints

Dongjie Yang, Chengqiang Lu, Qimeng Wang et al.

PolyGuard: Massive Multi-Domain Safety Policy-Grounded Guardrail Dataset

Mintong Kang, Zhaorun Chen, Chejian Xu et al.

ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents

Zhenyu Zhang, Tianyi Chen, Weiran Xu et al.

Polar Sparsity: High Throughput Batched LLM Inferencing with Scalable Contextual Sparsity

Susav Shrestha, Bradley Settlemyer, Nikoli Dryden et al.

Avoiding exp(R) scaling in RLHF through Preference-based Exploration

Mingyu Chen, Yiding Chen, Wen Sun et al.

Demystifying Spectral Feature Learning for Instrumental Variable Regression

Dimitri Meunier, Antoine Moulin, Jakub Wornbard et al.

HyperMARL: Adaptive Hypernetworks for Multi-Agent RL

Kale-ab Tessera, Muhammad Arrasy Rahman, Amos Storkey et al.

GPO: Learning from Critical Steps to Improve LLM Reasoning

Jiahao Yu, Zelei Cheng, Xian Wu et al.

Shallow Diffuse: Robust and Invisible Watermarking through Low-Dim Subspaces in Diffusion Models

Wenda Li, Huijie Zhang, Qing Qu

The Complexity of Symmetric Equilibria in Min-Max Optimization and Team Zero-Sum Games

Ioannis Anagnostides, Ioannis Panageas, Tuomas Sandholm et al.

Efficient Preference-Based Reinforcement Learning: Randomized Exploration meets Experimental Design

Andreas Schlaginhaufen, Reda Ouhamma, Maryam Kamgarpour

RLZero: Direct Policy Inference from Language Without In-Domain Supervision

Harshit Sushil Sikchi, Siddhant Agarwal, Pranaya Jajoo et al.

GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations

Fabian Paischer, Gianluca Galletti, William Hornsby et al.

CARE: Decoding-Time Safety Alignment via Rollback and Introspection Intervention

Xiaomeng Hu, Fei Huang, Chenhan Yuan et al.

Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff

Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti

Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models

Haoyu Wang, Peihao Wang, Mufei Li et al.

An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models

Binxu Wang, Cengiz Pehlevan

FlySearch: Exploring how vision-language models explore

Adam Pardyl, Dominik Matuszek, Mateusz Przebieracz et al.

Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees

Yuchen Liang, Yingbin Liang, Lifeng LAI et al.

Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning

Hongjoon Ahn, Heewoong Choi, Jisu Han et al.

Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space

Zhengrui Ma, Yang Feng, Chenze Shao et al.

Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations

Vivek Myers, Bill Zheng, Benjamin Eysenbach et al.

Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models

Jiachen Jiang, Jinxin Zhou, Bo Peng et al.

TalkCuts: A Large-Scale Dataset for Multi-Shot Human Speech Video Generation

Jiaben Chen, Zixin Wang, AILING ZENG et al.

Eyes Wide Open: Ego Proactive Video-LLM for Streaming Video

Xueyang Yu, Cheng Shi, Yang Wang et al.

More of the Same: Persistent Representational Harms Under Increased Representation

Jennifer Mickel, Maria De-Arteaga, Liu Leqi et al.

FACE: Faithful Automatic Concept Extraction

Dipkamal Bhusal, Michael Clifford, Sara Rampazzi et al.

SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models

Ye Sun, Hao Zhang, Henghui Ding et al.

SPAZER: Spatial-Semantic Progressive Reasoning Agent for Zero-shot 3D Visual Grounding

Zhao Jin, Rong-Cheng Tu, Jingyi Liao et al.

REOBench: Benchmarking Robustness of Earth Observation Foundation Models

Xiang Li, Yong Tao, Siyuan Zhang et al.

Set Smoothness Unlocks Clarke Hyper-stationarity in Bilevel Optimization

He Chen, Jiajin Li, Anthony Man-Cho So

Spectral Analysis of Representational Similarity with Limited Neurons

Hyunmo Kang, Abdulkadir Canatar, SueYeon Chung

Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach

Swetha Ganesh, Vaneet Aggarwal

SplitFlow: Flow Decomposition for Inversion-Free Text-to-Image Editing

Sung-Hoon Yoon, Minghan Li, Gaspard Beaudouin et al.

MPMAvatar: Learning 3D Gaussian Avatars with Accurate and Robust Physics-Based Dynamics

Changmin Lee, Jihyun Lee, Tae-Kyun Kim

RGB-to-Polarization Estimation: A New Task and Benchmark Study

Beibei Lin, Zifeng Yuan, Tingting Chen

GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection

Pingbang Hu, Joseph Melkonian, Weijing Tang et al.

Beyond Scores: Proximal Diffusion Models

Zhenghan Fang, Mateo Diaz, Sam Buchanan et al.

COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation

Uliana Parkina, Maxim Rakhuba

CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling

Beibu Li, Qichao Shentu, Yang Shu et al.

Born a Transformer -- Always a Transformer? On the Effect of Pretraining on Architectural Abilities

Mayank Jobanputra, Yana Veitsman, Yash Sarrof et al.

Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion

Qing-Yuan Jiang, Longfei Huang, Yang Yang

PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies?

Atharva Gundawar, Som Sagar, Ransalu Senanayake

Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments

Riley Simmons-Edler, Ryan Badman, Felix Berg et al.

InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion

Yuanyi Wang, Zhaoyi Yan, Yiming Zhang et al.

ImageSentinel: Protecting Visual Datasets from Unauthorized Retrieval-Augmented Image Generation

Ziyuan Luo, Yangyi Zhao, Ka Chun Cheung et al.

KL-Regularized RLHF with Multiple Reference Models: Exact Solutions and Sample Complexity

Gholamali Aminian, Amir R. Asadi, Idan Shenfeld et al.

Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients

Shiyuan Zuo, Xingrun Yan, Rongfei Fan et al.

Normalization in Attention Dynamics

Nikita Karagodin, Shu Ge, Yury Polyanskiy et al.

On the creation of narrow AI: hierarchy and nonlocality of neural network skills

Eric Michaud, Asher Parker-Sartori, Max Tegmark

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

Dandan Liang, Jianing Zhang, Evan Chen et al.

Flatness is Necessary, Neural Collapse is Not: Rethinking Generalization via Grokking

Ting Han, Linara Adilova, Henning Petzka et al.

Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing

XianJun, Davin Choo, Yuqi Pan, Tonghan Wang et al.

Inference-Time Reward Hacking in Large Language Models

Hadi Khalaf, Claudio Mayrink Verdun, Alex Oesterling et al.

Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive

Tyler Farghly, Peter Potaptchik, Samuel Howard et al.

MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework

Qirui Mi, Mengyue Yang, Xiangning Yu et al.

Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization

jingfeng Guo, Jian Liu, Jinnan Chen et al.

Simultaneous Modeling of Protein Conformation and Dynamics via Autoregression

Yuning Shen, Lihao Wang, Huizhuo Yuan et al.

A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics

Licong Lin, Song Mei

ReDi: Rectified Discrete Flow

Jaehoon Yoo, Wonjung Kim, Seunghoon Hong

Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models

Jiaqi Cao, Jiarui Wang, Rubin Wei et al.