Most Cited 2025 "step-by-step reasoning" Papers
22,274 papers found • Page 96 of 112
Conference
Noise-Consistent Siamese-Diffusion for Medical Image Synthesis and Segmentation
Kunpeng Qiu, Zhiqiang Gao, Zhiying Zhou et al.
ACAttack: Adaptive Cross Attacking RGB-T Tracker via Multi-Modal Response Decoupling
Xinyu Xiang, Qinglong Yan, HAO ZHANG et al.
High-fidelity 3D Object Generation from Single Image with RGBN-Volume Gaussian Reconstruction Model
Yiyang Shen, Kun Zhou, He Wang et al.
Q3R: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training
Ipsita Ghosh, Ethan Nguyen, Christian Kümmerle
Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings
Evan Markou, Thalaiyasingam Ajanthan, Stephen Gould
TAPIP3D: Tracking Any Point in Persistent 3D Geometry
Bowei Zhang, Lei Ke, Adam Harley et al.
Cost-Aware Contrastive Routing for LLMs
Reza Shirkavand, Shangqian Gao, Peiran Yu et al.
QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training
David Dai, Peilin Chen, Chanakya Ekbote et al.
Learning to Rank for In-Context Example Retrieval
Yuwen Ji, Luodan Zhang, Ambyer han et al.
Statistics Caching Test-Time Adaptation for Vision-Language Models
Zenghao Guan, Yucan Zhou, Wu Liu et al.
Continuous Adverse Weather Removal via Degradation-Aware Distillation
Xin Lu, Jie Xiao, Yurui Zhu et al.
The Art of Deception: Color Visual Illusions and Diffusion Models
Alexandra Gomez-Villa, Kai Wang, C.Alejandro Parraga et al.
Fast Training of Large Kernel Models with Delayed Projections
Amirhesam Abedsoltan, Siyuan Ma, Parthe Pandit et al.
NeSyPr: Neurosymbolic Proceduralization For Efficient Embodied Reasoning
Wonje Choi, Jooyoung Kim, Honguk Woo
Density Ratio-Free Doubly Robust Proxy Causal Learning
Bariscan Bozkurt, Houssam Zenati, Dimitri Meunier et al.
Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization
Haotian Luo, Haiying He, Yibo Wang et al.
EventFly: Event Camera Perception from Ground to the Sky
Lingdong Kong, Dongyue Lu, Xiang Xu et al.
Spectral Graph Coarsening Using Inner Product Preservation and the Grassmann Manifold
Ido Cohen, Ronen Talmon
Gaussian Approximation and Concentration of Constant Learning-Rate Stochastic Gradient Descent
Ziyang Wei, Jiaqi Li, Zhipeng Lou et al.
pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation
Yifei Zhang, Hao Zhu, Alysa Ziying Tan et al.
Association-Focused Path Aggregation for Graph Fraud Detection
Tian Qiu, Wenda Li, Zunlei Feng et al.
From Human Attention to Diagnosis: Semantic Patch-Level Integration of Vision-Language Models in Medical Imaging
Dmitry Lvov, Ilya Pershin
From Average-Iterate to Last-Iterate Convergence in Games: A Reduction and Its Applications
Yang Cai, Haipeng Luo, Chen-Yu Wei et al.
Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point
Hongjie Chen, Jingqiu Ding, Yiding Hua et al.
Data-Adaptive Exposure Thresholds under Network Interference
Vydhourie Thiyageswaran, Tyler H. McCormick, Jennifer Brennan
Distributed Multi-Agent Bandits Over Erdős-Rényi Random Networks
Jingyuan Liu, Hao Qiu, Lin Yang et al.
DiffLO: Semantic-Aware LiDAR Odometry with Diffusion-Based Refinement
huang yongshu, Chen Liu, Minghang Zhu et al.
RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving
Huacan Wang, Ziyi Ni, Shuo Zhang et al.
Online Two-Stage Submodular Maximization
Iasonas Nikolaou, Miltiadis Stouras, Stratis Ioannidis et al.
Layer-Wise Modality Decomposition for Interpretable Multimodal Sensor Fusion
Jaehyun Park, Konyul Park, Daehun Kim et al.
Balanced Active Inference
Boyu Chen, Zhixiang Zhou, Liuhua Peng et al.
SKE-Layout: Spatial Knowledge Enhanced Layout Generation with LLMs
Junsheng Wang, Nieqing Cao, Yan Ding et al.
A Semantic Parsing Framework for End-to-End Time Normalization
Xin Su, Sungduk Yu, Phillip Howard et al.
Wasserstein Transfer Learning
Kaicheng Zhang, Sinian Zhang, Doudou Zhou et al.
LinPrim: Linear Primitives for Differentiable Volumetric Rendering
Nicolas von Lützow, Matthias Niessner
Fast Zeroth-Order Convex Optimization with Quantum Gradient Methods
Junhyung Lyle Kim, Brandon Augustino, Dylan Herman et al.
SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs
Jinhong Deng, Wen Li, Joey Tianyi Zhou et al.
TimeWak: Temporal Chained-Hashing Watermark for Time Series Data
Zhi Wen Soi, Chaoyi Zhu, Fouad Abiad et al.
Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs
Xiangcheng Zhang, Yige Hong, Weina Wang
Marginal-Nonuniform PAC Learnability
Steve Hanneke, Shay Moran, Maximilian Thiessen
Inference-time Alignment in Continuous Space
Yige Yuan, Teng Xiao, Li Yunfan et al.
On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning
Anas Barakat, Souradip Chakraborty, Peihong Yu et al.
Hierarchical Frequency Tagging Probe (HFTP): A Unified Approach to Investigate Syntactic Structure Representations in Large Language Models and the Human Brain
Jingmin An, Yilong Song, Ruolin Yang et al.
One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution
Yujing Sun, Lingchen Sun, Shuaizheng Liu et al.
Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression
Yeichan Kim, Ilmun Kim, Seyoung Park
Floating No More: Object-Ground Reconstruction from a Single Image
Yunze Man, Yichen Sheng, Jianming Zhang et al.
Bernstein–von Mises for Adaptively Collected Data
Kevin Du, Yash Nair, Lucas Janson
Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies
Ziye Wang, Li Kang, Yiran Qin et al.
Unified Transferability Metrics for Time Series Foundation Models
Weiyang Zhang, Xinyang Chen, Xiucheng Li et al.
FIFA: Fine-grained Inter-frame Attention for Driver's Video Gaze Estimation
Daosong Hu, Mingyue Cui, Kai Huang
I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactions
Shuhong Liu, Lin Gu, Ziteng Cui et al.
Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments
Shitong Xu, Yiyuan Yang, Niki Trigoni et al.
Non-equilibrium Annealed Adjoint Sampler
Jaemoo Choi, Yongxin Chen, Molei Tao et al.
DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers
Xuyang Zhong, Haochen Luo, Chen Liu
A data and task-constrained mechanistic model of the mouse outer retina shows robustness to contrast variations
Kyra Kadhim, Jonas Beck, Ziwei Huang et al.
Learning-Augmented Online Bipartite Fractional Matching
XianJun, Davin Choo, Billy Jin, Yongho Shin
EffiDec3D: An Optimized Decoder for High-Performance and Efficient 3D Medical Image Segmentation
Md Mostafijur Rahman, Radu Marculescu
PaZO: Preconditioned Accelerated Zeroth-Order Optimization for Fine-Tuning LLMs
Hanzhen Zhao, Ding Shihong, Cong Fang et al.
Private Geometric Median in Nearly-Linear Time
Syamantak Kumar, Daogao Liu, Kevin Tian et al.
Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization
Ziqi Wang, Jiashun Liu, Ling Pan
UniGoal: Towards Universal Zero-shot Goal-oriented Navigation
Hang Yin, Xiuwei Xu, Linqing Zhao et al.
Private Training Large-scale Models with Efficient DP-SGD
Liangyu Wang, Junxiao Wang, Jie Ren et al.
ReDiffDet: Rotation-equivariant Diffusion Model for Oriented Object Detection
Jiaqi Zhao, Zeyu Ding, Yong Zhou et al.
Sharp Gaussian approximations for Decentralized Federated Learning
SOHAM BONNERJEE, Sayar Karmakar, Wei Biao Wu
WMCopier: Forging Invisible Watermarks on Arbitrary Images
Ziping Dong, Chao Shuai, Zhongjie Ba et al.
Causal Explanation-Guided Learning for Organ Allocation
Alessandro Marchese, Jeroen Berrevoets, Sam Verboven
Higher-Order Ratio Cycles for Fast and Globally Optimal Shape Matching
Paul Roetzer, Viktoria Ehm, Daniel Cremers et al.
Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification
Dongseob Kim, Hyunjung Shim
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
Bencheng Liao, Shaoyu Chen, haoran yin et al.
Generalization Bounds for Model-based Algorithm Configuration
Zhiyang Chen, Hailong Yao, Xia Yin
BLEUBERI: BLEU is a surprisingly effective reward for instruction following
Yapei Chang, Yekyung Kim, Michael Krumdick et al.
Visual Consensus Prompting for Co-Salient Object Detection
Jie Wang, Nana Yu, Zihao Zhang et al.
TRACE: Contrastive learning for multi-trial time series data in neuroscience
Lisa Schmors, Dominic Gonschorek, Jan Niklas Böhm et al.
Learning from positive and unlabeled examples -Finite size sample bounds
Farnam Mansouri, Shai Ben-David
EquiPose: Exploiting Permutation Equivariance for Relative Camera Pose Estimation
Yuzhen Liu, Qiulei Dong
Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models
Yankai Jiang, Peng Zhang, Donglin Yang et al.
Towards Understanding the Mechanisms of Classifier-Free Guidance
Xiang Li, Rongrong Wang, Qing Qu
VLMs have Tunnel Vision: Evaluating Nonlocal Visual Reasoning in Leading VLMs
Shmuel Berman, Jia Deng
Enhancing Creative Generation on Stable Diffusion-based Models
Jiyeon Han, Dahee Kwon, Gayoung Lee et al.
Incremental Sequence Classification with Temporal Consistency
Lucas Maystre, Gabriel Barello, Tudor Berariu et al.
VaporTok: RL-Driven Adaptive Video Tokenizer with Prior & Task Awareness
Minghao Yang, Zechen Bai, Jing Lin et al.
M^3-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation
Zixuan Chen, Jiaxin Li, Junxuan Liang et al.
Graph Diffusion that can Insert and Delete
Matteo Ninniri, Marco Podda, Davide Bacciu
Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go
Yichuan Ma, Linyang Li, Yongkang Chen et al.
FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning
Yunbo Li, Jiaping Gui, Zhihang Deng et al.
Revisiting Glorot Initialization for Long-Range Linear Recurrences
Noga Bar, Mariia Seleznova, Yotam Alexander et al.
Tight Bounds for Answering Adaptively Chosen Concentrated Queries
Emma Rapoport, Edith Cohen, Uri Stemmer
What We Miss Matters: Learning from the Overlooked in Point Cloud Transformers
Yi Wang, Jiaze Wang, Ziyu Guo et al.
RAT: Bridging RNN Efficiency and Attention Accuracy via Chunk-based Sequence Modeling
Xiuying Wei, Anunay Yadav, Razvan Pascanu et al.
Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration
Yifeng Yu, Lu Yu
Efficient Randomized Experiments Using Foundation Models
Piersilvio De Bartolomeis, Javier Abad, Guanbo Wang et al.
HOI-Dyn: Learning Interaction Dynamics for Human-Object Motion Diffusion
Lin Wu, Zhixiang Chen, Jianglin Lan
Matchings Under Biased and Correlated Evaluations
Amit Kumar, Nisheeth K. Vishnoi
Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes
Zhou Yang, Mingtao Feng, Tao Huang et al.
Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond
Kiarash Banihashem, Jeff Giliberti, Samira Goudarzi et al.
Harnessing Frequency Spectrum Insights for Image Copyright Protection Against Diffusion Models
Zhenguang Liu, Chao Shuai, Shaojing Fan et al.
Exponential Convergence Guarantees for Iterative Markovian Fitting
Marta Gentiloni Silveri, Giovanni Conforti, Alain Durmus
Deep Value Benchmark: Measuring Whether Models Generalize Deep values or Shallow Preferences
Joshua Ashkinaze, Hua Shen, Saipranav Avula et al.
CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs
Roman Vashurin, Maiya Goloburda, Albina Ilina et al.
Surface-Aware Feed-Forward Quadratic Gaussian for Frame Interpolation with Large Motion
Zaoming Yan, Yaomin Huang, Pengcheng Lei et al.
SHGR: A Generalized Maximal Correlation Coefficient
Samuel Stocksieker, Denys Pommeret
Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual
Chong Wang, Lanqing Guo, Zixuan Fu et al.
MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
Ruicheng Wang, Sicheng Xu, Cassie Lee Dai et al.
A Computationally Viable Numerical Gradient-based Technique for Optimal Covering Problems
Gokul Rajaraman, Debasish Chatterjee
Empower Words: DualGround for Structured Phrase and Sentence-Level Temporal Grounding
Minseok Kang, Minhyeok Lee, Minjung Kim et al.
Image Quality Assessment: From Human to Machine Preference
Chunyi Li, Yuan Tian, Xiaoyue Ling et al.
Restoring Pruned Large Language Models via Lost Component Compensation
Zijian Feng, Hanzhang Zhou, Zixiao Zhu et al.
Zero-Shot Performance Prediction for Probabilistic Scaling Laws
Viktoria Schram, Markus Hiller, Daniel Beck et al.
BlockDecoder: Boosting ASR Decoders with Context and Merger Modules
Darshan Prabhu, Preethi Jyothi
Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models
Byeonghu Na, Minsang Park, Gyuwon Sim et al.
Axial Neural Networks for Dimension-Free Foundation Models
Hyunsu Kim, Jonggeon Park, Joan Bruna et al.
Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal Systems
Ibrahim Alabdulmohsin, Xiaohua Zhai
MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions
Lam Ngo, Huong Ha, Jeffrey Chan et al.
3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning
Yuncong Yang, Han Yang, Jiachen Zhou et al.
IntrinsiX: High-Quality PBR Generation using Image Priors
Peter Kocsis, Lukas Höllein, Matthias Niessner
Classifier-Free Guidance Inside the Attraction Basin May Cause Memorization
Anubhav Jain, Yuya Kobayashi, Takashi Shibuya et al.
Robust Minimax Boosting with Performance Guarantees
Santiago Mazuelas, Veronica Alvarez
Combinatorial Ski Rental Problem: Robust and Learning-Augmented Algorithms
Ziwei Li, Bo Sun, Zhiqiu Zhang et al.
Diversity-oriented Deep Multi-modal Clustering
Wang Yanzheng, Xin Yang, Yujun Wang et al.
Test-Time Backdoor Detection for Object Detection Models
Hangtao Zhang, Yichen Wang, Shihui Yan et al.
ComfyMind: Toward General-Purpose Generation via Tree-Based Planning and Reactive Feedback
Litao Guo, Xinli Xu, Luozhou Wang et al.
Towards Multiscale Graph-based Protein Learning with Geometric Secondary Structural Motifs
Shih-Hsin Wang, Yuhao Huang, Taos Transue et al.
TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
Yehjin Shin, Jeongwhan Choi, Seojin Kim et al.
Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging
Max Kahl, Sebastian Stricker, Lisa Hutschenreiter et al.
Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction
Seungtae Nam, Xiangyu Sun, Gyeongjin Kang et al.
OmniFC: Rethinking Federated Clustering via Lossless and Secure Distance Reconstruction
Jie Yan, Jing Liu, Zhong-Yuan Zhang
Quantifying Task-relevant Similarities in Representations Using Decision Variable Correlations
Yu (Eric) Qian, Wilson Geisler, Xue-Xin Wei
Pose Priors from Language Models
Sanjay Subramanian, Evonne Ng, Lea Müller et al.
Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
Emre Sahinoglu, Youbang Sun, Shahin Shahrampour
IndoorGS: Geometric Cues Guided Gaussian Splatting for Indoor Scene Reconstruction
Cong Ruan, Yuesong Wang, Bin Zhang et al.
Fantastic Features and Where to Find Them: A Probing Method to combine Features from Multiple Foundation Models
Benjamin Ramtoula, Pierre-Yves Lajoie, Paul Newman et al.
Flash-Split: 2D Reflection Removal with Flash Cues and Latent Diffusion Separation
Tianfu Wang, Mingyang Xie, Haoming Cai et al.
Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks
Shakir Yousefi, Andreas Plesner, Till Aczel et al.
MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data
Hanwen Jiang, Zexiang Xu, Desai Xie et al.
ESCA: Contextualizing Embodied Agents via Scene-Graph Generation
Jiani Huang, Amish Sethi, Matthew Kuo et al.
Volumetric Surfaces: Representing Fuzzy Geometries with Layered Meshes
Stefano Esposito, Anpei Chen, Christian Reiser et al.
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
Long Zhou, Fereshteh Shakeri, Aymen Sadraoui et al.
Enduring, Efficient and Robust Trajectory Prediction Attack in Autonomous Driving via Optimization-Driven Multi-Frame Perturbation Framework
Yi Yu, Weizhen Han, Libing Wu et al.
Adaptive Latent-Space Constraints in Personalized Federated Learning
Sana Ayromlou, David B. Emerson
Crucible: Quantifying the Potential of Control Algorithms through LLM Agents
Lianchen Jia, Chaoyang Li, Qian Houde et al.
Generalized and Invariant Single-Neuron In-Vivo Activity Representation Learning
Wei Wu, Yuxing Lu, Zhengrui Guo et al.
HistoFS: Non-IID Histopathologic Whole Slide Image Classification via Federated Style Transfer with RoI-Preserving
Farchan Hakim Raswa, Chun-Shien Lu, Jia-Ching Wang
Videos are Sample-Efficient Supervisions: Behavior Cloning from Videos via Latent Representations
Xin Liu, Haoran Li, Dongbin Zhao
Towards Generalizable 3D Human Pose Estimation via Ensembles on Flat Loss Landscapes
Jumin Han, Jun-Hui Kim, Seong-Whan Lee
A CLT for Polynomial GNNs on Community-Based Graphs
Luciano Vinas, Arash Amini
FedRW: Efficient Privacy-Preserving Data Reweighting for Enhancing Federated Learning of Language Models
Pukang Ye, Luo Junwei, Jiachen Shen et al.
Opportunistic Single-Photon Time of Flight
Sotiris Nousias, Mian Wei, Howard Xiao et al.
TreeGen: A Bayesian Generative Model for Hierarchies
Marcel Kollovieh, Nils Fleischmann, Filippo Guerranti et al.
Class conditional conformal prediction for multiple inputs by p-value aggregation
Jean-Baptiste Fermanian, Mohamed Hebiri, Joseph Salmon
Differential Privacy for Euclidean Jordan Algebra with Applications to Private Symmetric Cone Programming
Zhao Song, Jianfei Xue, Lichen Zhang
Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation
Joohyun Kwon, Hanbyel Cho, Junmo Kim
Commonsense Video Question Answering through Video-Grounded Entailment Tree Reasoning
Huabin Liu, Filip Ilievski, Cees G. M. Snoek
Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process
Tsai Hor Chan, Feng Wu, Yihang Chen et al.
Design2GarmentCode: Turning Design Concepts to Tangible Garments Through Program Synthesis
Feng Zhou, Ruiyang Liu, chen liu et al.
Learning Compatible Multi-Prize Subnetworks for Asymmetric Retrieval
Yushuai Sun, Zikun Zhou, Dongmei Jiang et al.
Dual Diffusion for Unified Image Generation and Understanding
Zijie Li, Henry Li, Yichun Shi et al.
Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets
Zixian Yang, Sushil Varma, Lei Ying
GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding
Yawen Shao, Wei Zhai, Yuhang Yang et al.
Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces
Alejandro García-Castellanos, David Wessels, Nicky J. van den Berg et al.
Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm
Clément Bénard
Weaver: Shrinking the Generation-Verification Gap by Scaling Compute for Verification
Jon Saad-Falcon, Estefany Kelly Buchanan, Mayee Chen et al.
Test-time Augmentation Improves Efficiency in Conformal Prediction
Divya M Shanmugam, Helen Lu, Swami Sankaranarayanan et al.
Less is More: Local Intrinsic Dimensions of Contextual Language Models
Benjamin Matthias Ruppik, Julius von Rohrscheidt, Carel van Niekerk et al.
Rethinking Fair Federated Learning from Parameter and Client View
Kaiqi Guan, Wenke Huang, Xianda Guo et al.
RepGuard: Adaptive Feature Decoupling for Robust Backdoor Defense in Large Language Models
Chenxu Niu, Jie Zhang, Yanbing Liu et al.
Explainable Reinforcement Learning from Human Feedback to Improve Alignment
Shicheng Liu, Siyuan Xu, Wenjie Qiu et al.
DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows
Mashrur M. Morshed, Vishnu Naresh Boddeti
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
Jiashuo Li, Shaokun Wang, Bo Qian et al.
EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions
Xiaorui Wu, Fei Li, Xiaofeng Mao et al.
Unsupervised Discovery of Facial Landmarks and Head Pose
Satyajit Tourani, Siddharth Tourani, Arif Mahmood et al.
LoRO: Real-Time on-Device Secure Inference for LLMs via TEE-Based Low Rank Obfuscation
Gaojian Xiong, Yu Sun, Jianhua Liu et al.
Mixture of Submodules for Domain Adaptive Person Search
Minsu Kim, Seungryong Kim, Kwanghoon Sohn
Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems
Hao Liang, shuqing shi, Yudi Zhang et al.
Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization
Mohammad Pedramfar, Christopher Quinn, Vaneet Aggarwal
Convergence of the Gradient Flow for Shallow ReLU Networks on Weakly Interacting Data
Léo Dana, Loucas Pillaud-Vivien, Francis Bach
You Only Spectralize Once: Taking a Spectral Detour to Accelerate Graph Neural Network
Yi Li, Zhichun Guo, Guanpeng Li et al.
Human-assisted Robotic Policy Refinement via Action Preference Optimization
Wenke Xia, Yichu Yang, Hongtao Wu et al.
Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation
Guoqing Hu, An Zhang, Shuchang Liu et al.
Where Graph Meets Heterogeneity: Multi-View Collaborative Graph Experts
Zhihao Wu, Jinyu Cai, Yunhe Zhang et al.
FSHNet: Fully Sparse Hybrid Network for 3D Object Detection
Shuai Liu, Mingyue Cui, Boyang Li et al.
Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models
Yixiao Wang, Zishan Shao, Ting Jiang et al.
Kuramoto Orientation Diffusion Models
Yue Song, Andy Keller, Sevan Brodjian et al.
Sequence Modeling with Spectral Mean Flows
Jinwoo Kim, Max Beier, Petar Bevanda et al.
MoME: Mixture of Matryoshka Experts for Audio-Visual Speech Recognition
Umberto Cappellazzo, Minsu Kim, Pingchuan Ma et al.
C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
Antonios Valkanas, Soumyasundar Pal, Pavel Rumiantsev et al.
Restage4D: Reanimating Deformable 3D Reconstruction from a Single Video
Jixuan He, Chieh Lin, Lu Qi et al.
ForceFM: Enhancing Protein-Ligand Predictions through Force-Guided Flow Matching
HUANLEI GUO, Song LIU, Bingyi Jing
NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data
Haolong Qian, Xianliang Yang, Ling Zhang et al.
UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback
Pengwei Liu, Hangjie Yuan, Bo Dong et al.
Scaling Language-centric Omnimodal Representation Learning
Chenghao Xiao, Hou Pong (Ken) Chan, Hao Zhang et al.
DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches
Yun Xing, Yue Cao, Nhat Chung et al.
Place Cells as Multi-Scale Position Embeddings: Random Walk Transition Kernels for Path Planning
Minglu Zhao, Dehong Xu, Deqian Kong et al.
Variance-Aware Feel-Good Thompson Sampling for Contextual Bandits
Xuheng Li, Quanquan Gu
Synergistic Tensor and Pipeline Parallelism
Mengshi Qi, Jiaxuan Peng, Jie Zhang et al.
RayFusion: Ray Fusion Enhanced Collaborative Visual Perception
Shaohong Wang, Lu Bin, Xinyu Xiao et al.
Accelerated Distance-adaptive Methods for Hölder Smooth and Convex Optimization
Yijin Ren, Haifeng Xu, Qi Deng
Exploring Contextual Attribute Density in Referring Expression Counting
Zhicheng Wang, Zhiyu Pan, Zhan Peng et al.
Decoupled Motion Expression Video Segmentation
Hao Fang, Runmin Cong, Xiankai Lu et al.
VisionZip: Longer is Better but Not Necessary in Vision Language Models
Senqiao Yang, Yukang Chen, Zhuotao Tian et al.
Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation
Leqi Zheng, Chaokun Wang, Zixin Song et al.