Most Cited 2025 Poster Papers

SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer

Enze Xie, Junsong Chen, Yuyang Zhao et al.

KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling

Shimin Zhang, Ziyuan Ye, Yinsong Yan et al.

Improving Reward Model Generalization from Adversarial Process Enhanced Preferences

Zhilong Zhang, Tian Xu, Xinghao Du et al.

Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence

İlker Işık, Ramazan Gokberk Cinbis, Ebru Gol

Going Deeper into Locally Differentially Private Graph Neural Networks

Longzhu He, Chaozhuo Li, Peng Tang et al.

Federated Node-Level Clustering Network with Cross-Subgraph Link Mending

Jingxin Liu, Renda Han, Wenxuan Tu et al.

Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants

Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar et al.

Near Optimal Best Arm Identification for Clustered Bandits

Yash Kheshwani, Avishek Ghosh, Nikhil Karamchandani

CellFlux: Simulating Cellular Morphology Changes via Flow Matching

Yuhui Zhang, Yuchang Su, Chenyu Wang et al.

In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention

Jianliang He, Xintian Pan, Siyu Chen et al.

Efficient LiDAR Reflectance Compression via Scanning Serialization

Jiahao Zhu, Kang You, Dandan Ding et al.

SHARP-Distill: A 68× Faster Recommender System with Hypergraph Neural Networks and Language Models

Saman Forouzandeh, Parham Moradi, Mahdi Jalili

AlphaQCM: Alpha Discovery in Finance with Distributional Reinforcement Learning

Zhoufan Zhu, Ke Zhu

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking

Runquan Gui, Zhihai Wang, Jie Wang et al.

TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting

Yifan Hu, Guibin Zhang, Peiyuan Liu et al.

Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph

Weihuang Zheng, Jiashuo Liu, Jiaxing Li et al.

Beyond Oracle: Verifier-Supervision for Instruction Hierarchy in Reasoning and Instruction-Tuned LLMs

Sian-Yao Huang, Li-Hsien Chang, Che-Yu Lin et al.

Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical Perspective

Zeyu Jia, Alexander Rakhlin, Tengyang Xie

Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning

Baiyuan Chen, Shinji Ito, Masaaki Imaizumi

Learning-Augmented Online Bidding in Stochastic Settings

Spyros Angelopoulos, Bertrand Simon

Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings

Aditya Sengar, Ali Hariri, Daniel Probst et al.

Efficient semantic uncertainty quantification in language models via diversity-steered sampling

Ji Won Park, Kyunghyun Cho

Feature Unlearning: Theoretical Foundations and Practical Applications with Shuffling

Yue Yang, Jinhao Li, Hao Wang

Reasoning Models Hallucinate More: Factuality-Aware Reinforcement Learning for Large Reasoning Models

Junyi Li, Hwee Tou Ng

LOMIA: Label-Only Membership Inference Attacks against Pre-trained Large Vision-Language Models

Yihao LIU, Xinqi Lyu, Dong Wang et al.

Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks

Hang Yu, Lyumin Wu, Wenxin Zhou et al.

Scaling Up Parameter Generation: A Recurrent Diffusion Approach

Kai Wang, Dongwen Tang, Wangbo Zhao et al.

Diffusion on Demand: Selective Caching and Modulation for Efficient Generation

Hee Min Choi, Hyoa Kang, Dokwan Oh et al.

Structured Reinforcement Learning for Combinatorial Decision-Making

Heiko Hoppe, Léo Baty, Louis Bouvier et al.

Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks

Kijung Yoon

FedFree: Breaking Knowledge-sharing Barriers through Layer-wise Alignment in Heterogeneous Federated Learning

Haizhou Du, Yiran Xiang, Yiwen Cai et al.

DSRF: A Dynamic and Scalable Reasoning Framework for Solving RPMs

Chengtai Li, Yuting He, Jianfeng Ren et al.

Online Locally Differentially Private Conformal Prediction via Binary Inquiries

Qiangqiang Zhang, Chenfei Gu, Xinwei Feng et al.

Principled Long-Tailed Generative Modeling via Diffusion Models

Pranoy Das, Kexin Fu, Abolfazl Hashemi et al.

SONAR: Long-Range Graph Propagation Through Information Waves

Alessandro Trenta, Alessio Gravina, Davide Bacciu

Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems

Marcos Negre Saura, Richard Allmendinger, Wei Pan et al.

Improving Decision Trees through the Lens of Parameterized Local Search

Juha Harviainen, Frank Sommer, Manuel Sorge

TGA: True-to-Geometry Avatar Dynamic Reconstruction

Bo Guo, Sijia Wen, Ziwei Wang et al.

CAMILA: Context-Aware Masking for Image Editing with Language Alignment

Hyunseung Kim, Chiho Choi, Srikanth Malla et al.

Promptable 3-D Object Localization with Latent Diffusion Models

Cheng-Yao Hong, Li-Heng Wang, Tyng-Luh Liu

Adaptive Discretization for Consistency Models

Jiayu Bai, Zhanbo Feng, Zhijie Deng et al.

Neural Mutual Information Estimation with Vector Copulas

Yanzhi Chen, Zijing Ou, Adrian Weller et al.

Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis

Yicong Jiang, Zheng Tracy Ke

Thompson Sampling in Function Spaces via Neural Operators

Rafael Oliveira, Xuesong Wang, Kian Ming Chai et al.

OctoNet: A Large-Scale Multi-Modal Dataset for Human Activity Understanding Grounded in Motion-Captured 3D Pose Labels

Dongsheng Yuan, Xie Zhang, Weiying Hou et al.

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

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

CADGrasp: Learning Contact and Collision Aware General Dexterous Grasping in Cluttered Scenes

Jiyao Zhang, Zhiyuan Ma, Tianhao Wu et al.

Natural Gradient VI: Guarantees for Non-Conjugate Models

Fangyuan Sun, Ilyas Fatkhullin, Niao He

UMAMI: Unifying Masked Autoregressive Models and Deterministic Rendering for View Synthesis

Thanh-Tung Le, Tuan Pham, Tung Nguyen et al.

TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents

Xiaochuan Gou, Ziyue Li, Tian Lan et al.

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

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

Event-Guided Consistent Video Enhancement with Modality-Adaptive Diffusion Pipeline

Kanghao Chen, Zixin Zhang, Guoqiang Liang et al.

IBGS: Image-Based Gaussian Splatting

Hoang Chuong Nguyen, Wei Mao, Jose M. Alvarez et al.

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

Runjian Chen, Hyoungseob Park, Bo Zhang et al.

Tensor Decomposition Networks for Accelerating Machine Learning Force Field Computations

Yuchao Lin, Cong Fu, Zachary Krueger et al.

SentinelKilnDB: A Large-Scale Dataset and Benchmark for OBB Brick Kiln Detection in South Asia Using Satellite Imagery

Rishabh Mondal, Jeet Parab, Heer Kubadia et al.

Geometric Imbalance in Semi-Supervised Node Classification

Liang Yan, Shengzhong Zhang, Bisheng Li et al.

Visual Anagrams Reveal Hidden Differences in Holistic Shape Processing Across Vision Models

Fenil Doshi, Thomas Fel, Talia Konkle et al.

Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization

Tan Pan, Kaiyu Guo, Dongli Xu et al.

LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning

Junyu Chen, Junzhuo Li, Zhen Peng et al.

InFlux: A Benchmark for Self-Calibration of Dynamic Intrinsics of Video Cameras

Erich Liang, Roma Bhattacharjee, Sreemanti Dey et al.

MODEL SHAPLEY: Find Your Ideal Parameter Player via One Gradient Backpropagation

Chu Xu, Xinke Jiang, Rihong Qiu et al.

Efficient and Generalizable Mixed-Precision Quantization via Topological Entropy

Nan Li, Yonghui Su, Lianbo Ma

Inexact Column Generation for Bayesian Network Structure Learning via Difference-of-Submodular Optimization

Yiran Yang, Rui Chen

Guarantees for Alternating Least Squares in Overparameterized Tensor Decompositions

Dionysis Arvanitakis, Vaidehi Srinivas, Aravindan Vijayaraghavan

Iterative Foundation Model Fine-Tuning on Multiple Rewards

Pouya M. Ghari, simone sciabola, Ye Wang

Revisiting 1-peer exponential graph for enhancing decentralized learning efficiency

Kenta Niwa, Yuki Takezawa, Guoqiang Zhang et al.

AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web

RUI CAO, Zifeng Ding, Zhijiang Guo et al.

PIVNO: Particle Image Velocimetry Neural Operator

Xu Jie, Xuesong Zhang, Jing Jiang et al.

Counterfactual Evolution of Multimodal Datasets via Visual Programming

Minghe Gao, Zhongqi Yue, Wenjie Yan et al.

DoseSurv: Predicting Personalized Survival Outcomes under Continuous-Valued Treatments

Moritz Gögl, Yu Liu, Christopher Yau et al.

One Stone with Two Birds: A Null-Text-Null Frequency-Aware Diffusion Models for Text-Guided Image Inpainting

Haipeng Liu, Yang Wang, Meng Wang

StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models

Haoxin Yang, Bangzhen Liu, Xuemiao Xu et al.

From Softmax to Score: Transformers Can Effectively Implement In-Context Denoising Steps

Paul Rosu, Lawrence Carin, Xiang Cheng

NEP: Autoregressive Image Editing via Next Editing Token Prediction

Huimin Wu, Xiaojian (Shawn) Ma, Haozhe Zhao et al.

Autoencoding Random Forests

Binh Vu, Jan Kapar, Marvin Wright et al.

Learning to Generalize: An Information Perspective on Neural Processes

Hui Li, Huafeng Liu, Shuyang Lin et al.

HBLLM: Wavelet-Enhanced High-Fidelity 1-Bit Quantization for LLMs

Ningning Chen, Weicai Ye, Ying Jiang

Just One Layer Norm Guarantees Stable Extrapolation

Juliusz Ziomek, George Whittle, Michael A Osborne

Learning from A Single Markovian Trajectory: Optimality and Variance Reduction

Zhenyu Sun, Ermin Wei

From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D

Jiahui Zhang, Yurui Chen, Yueming Xu et al.

Unsupervised Trajectory Optimization for 3D Registration in Serial Section Electron Microscopy using Neural ODEs

Zhenbang Zhang, Jingtong Feng, Hongjia Li et al.

Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal Learning

Hossein Rajoli Nowdeh, Jie Ji, Xiaolong Ma et al.

ChatVLA-2: Vision-Language-Action Model with Open-World Reasoning

Zhongyi Zhou, Yichen Zhu, Xiaoyu Liu et al.

Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving

Xinyu Wang, Jonas M. Kübler, Kailash Budhathoki et al.

Adaptive Quantization in Generative Flow Networks for Probabilistic Sequential Prediction

Nadhir Hassen, Zhen Zhang, Johan Verjans

Efficient $k$-Sparse Band–Limited Interpolation with Improved Approximation Ratio

Yang Cao, Xiaoyu Li, Zhao Song et al.

H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition

Lukas Miklautz, Chengzhi Shi, Andrii Shkabrii et al.

Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection

Cong Zeng, Shengkun Tang, Yuanzhou Chen et al.

On the Hardness of Approximating Distributions with Tractable Probabilistic Models

John Leland, YooJung Choi

Rebalancing Return Coverage for Conditional Sequence Modeling in Offline Reinforcement Learning

Wensong Bai, Chufan Chen, Yichao Fu et al.

Distil-E2D: Distilling Image-to-Depth Priors for Event-Based Monocular Depth Estimation

Jie Long Lee, Gim Hee Lee

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation

Harold Haodong Chen, Haojian Huang, Qifeng Chen et al.

Progress Reward Model for Reinforcement Learning via Large Language Models

Xiuhui Zhang, Ning Gao, Xingyu Jiang et al.

ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion

Sungho Koh, SeungJu Cha, Hyunwoo Oh et al.

MultiScale Contextual Bandits for Long Term Objectives

Richa Rastogi, Yuta Saito, Thorsten Joachims

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

MingMing Yu, Fei Zhu, Wenzhuo Liu et al.

Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations

Jack Nugent, Siyang Wu, Zeyu Ma et al.

Practical and Effective Code Watermarking for Large Language Models

Zhimeng Guo, Minhao Cheng

Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning

Yijin Ni, Xiaoming Huo

Stochastic Forward-Forward Learning through Representational Dimensionality Compression

Zhichao Zhu, YANG QI, Hengyuan Ma et al.

Trajectory Graph Learning: Aligning with Long Trajectories in Reinforcement Learning Without Reward Design

Yunfan Li, Eric Liu, Lin Yang

Learning to Steer: Input-dependent Steering for Multimodal LLMs

Jayneel Parekh, Pegah KHAYATAN, Mustafa Shukor et al.

Smoothed Agnostic Learning of Halfspaces over the Hypercube

Yiwen Kou, Raghu Meka

Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity

Seonghoon Yu, Dongjun Nam, Dina Katabi et al.

Robust Estimation Under Heterogeneous Corruption Rates

Syomantak Chaudhuri, Jerry Li, Thomas Courtade

SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map Construction

Fabian Immel, Jan-Hendrik Pauls, Richard Schwarzkopf et al.

Efficient Low Rank Attention for Long-Context Inference in Large Language Models

Li Tenghui, Guoxu Zhou, Xuyang Zhao et al.

Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning

Xiangning Yu, Zhuohan Wang, Linyi Yang et al.

Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers

Daniel Dsouza, Julia Kreutzer, Adrien Morisot et al.

Self-supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction Prediction

Tengfei Ma, Kun Chen, Yongsheng Zang et al.

Controlling The Spread of Epidemics on Networks with Differential Privacy

Dũng Nguyen, Aravind Srinivasan, Renata Valieva et al.

SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking

Shubo Lin, Yutong Kou, Zirui Wu et al.

A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone

Jitai Hao, Qiang Huang, Hao Liu et al.

Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance

Jack Goffinet, Youngjo Min, Carlo Tomasi et al.

OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation

Raktim Goswami, Prashanth Krishnamurthy, Yann LeCun et al.

Quantifying Elicitation of Latent Capabilities in Language Models

Elizabeth Donoway, Hailey Joren, Arushi Somani et al.

RoomEditor: High-Fidelity Furniture Synthesis with Parameter-Sharing U-Net

Zhenyi Lin, Xiaofan Ming, Qilong Wang et al.

Quantum Speedups for Minimax Optimization and Beyond

Chengchang Liu, Zongqi Wan, Institute of Computing Jialin Zhang et al.

Rethinking Gradient Step Denoiser: Towards Truly Pseudo-Contractive Operator

Shuchang Zhang, Yaoyun Zeng, Kangkang Deng et al.

RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis

Haolin Li, Tianjie Dai, Zhe Chen et al.

RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting

Mohamad Hakam Shams Eddin, Yikui Zhang, Stefan Kollet et al.

Global Minimizers of Sigmoid Contrastive Loss

Kiril Bangachev, Guy Bresler, Iliyas Noman et al.

GeoVideo: Introducing Geometric Regularization into Video Generation Model

Yunpeng Bai, Shaoheng Fang, Chaohui Yu et al.

SPFL: Sequential updates with Parallel aggregation for Enhanced Federated Learning under Category and Domain Shifts

Haoyuan Liang, Shilei Cao, Li et al.

UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces

Yuanshao Zhu, James Yu, Xiangyu Zhao et al.

Scalable Neural Incentive Design with Parameterized Mean-Field Approximation

Nathan Corecco, Batuhan Yardim, Vinzenz Thoma et al.

zip2zip: Inference-Time Adaptive Tokenization via Online Compression

Saibo Geng, Nathan Ranchin, Yunzhen Yao et al.

Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference

Frank Shih, Zhenghao Jiang, Faming Liang

Interpreting Emergent Features in Deep Learning-based Side-channel Analysis

Sengim Karayalcin, Marina Krček, Stjepan Picek

Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification

Matan Schliserman, Tomer Koren

OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling

Haoyang Liu, Jie Wang, Yuyang Cai et al.

AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning

Yang Chen, Zhuolin Yang, Zihan Liu et al.

PoseCrafter: Extreme Pose Estimation with Hybrid Video Synthesis

Qing Mao, Tianxin Huang, Yu Zhu et al.

Enhancing Training Data Attribution with Representational Optimization

Weiwei Sun, Haokun Liu, Nikhil Kandpal et al.

RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation

Tianyi Yan, Wencheng Han, xia zhou et al.

The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination

Adam Klivans, Konstantinos Stavropoulos, Kevin Tian et al.

Bits Leaked per Query: Information-Theoretic Bounds for Adversarial Attacks on LLMs

Masahiro Kaneko, Timothy Baldwin

DynaPipe: Dynamic Layer Redistribution for Efficient Serving of LLMs with Pipeline Parallelism

HongXin Xu, Tianyu Guo, Xianwei Zhang

COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space

Pengyi Li, Hongyao Tang, Yifu Yuan et al.

Latent Space Factorization in LoRA

Shashi Kumar, Yacouba Kaloga, John Mitros et al.

Periodic Skill Discovery

Jonghae Park, Daesol Cho, Jusuk Lee et al.

BrainEC-LLM: Brain Effective Connectivity Estimation by Multiscale Mixing LLM

Wen Xiong, Junzhong Ji, Jinduo Liu

Latent Retrieval Augmented Generation of Cross-Domain Protein Binders

Zishen Zhang, Xiangzhe Kong, Wenbing Huang et al.

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation

Jingyuan Qi, Zhiyang Xu, Qifan Wang et al.

Co-PatcheR: Collaborative Software Patching with Component-specific Small Reasoning Models

Yuheng Tang, Hongwei Li, Kaijie Zhu et al.

Transition Matching: Scalable and Flexible Generative Modeling

Neta Shaul, Uriel Singer, Itai Gat et al.

Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel–Young Losses

Yuzhou Cao, Han Bao, Lei Feng et al.

Depth-Width Tradeoffs for Transformers on Graph Tasks

Gilad Yehudai, Clayton Sanford, Maya Bechler-Speicher et al.

From Pretraining to Pathology: How Noise Leads to Catastrophic Inheritance in Medical Models

HAO SUN, Zhongyi Han, Hao Chen et al.

Pattern-Guided Adaptive Prior for Structure Learning

Lyuzhou Chen, Yijia Sun, Yanze Gao et al.

Better NTK Conditioning: A Free Lunch from (ReLU) Nonlinear Activation in Wide Neural Networks

Chaoyue Liu, Han Bi, Like Hui et al.

Switchable Token-Specific Codebook Quantization For Face Image Compression

Yongbo Wang, Haonan Wang, Guodong Mu et al.

Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity

Guangze Zheng, Shijie Lin, Haobo Zuo et al.

A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous Environments

Siyuan Wu, Yongzhe Jia, Haolong Xiang et al.

Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models

Hanze Guo, Jing Yao, Xiao Zhou et al.

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

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.

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

Xiaoan Zhu, Yue Zhao, Tianyang Hu 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.

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

Prompt-guided Disentangled Representation for Action Recognition

tianci wu, Guangming Zhu, Lu jiang et al.

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

Hainan Fang, Yuanbo Wen, Jun Bi 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.

Tackling Continual Offline RL through Selective Weights Activation on Aligned Spaces

Jifeng Hu, Sili Huang, Li Shen et al.

Autoregressive Motion Generation with Gaussian Mixture-Guided Latent Sampling

Linnan Tu, Lingwei Meng, Zongyi Li 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.

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.

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

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.

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.

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

Changshuo Wang, Shuting He, Xiang Fang 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.