Most Cited 2025 "ventral stream selectivity" Papers
22,274 papers found • Page 89 of 112
Conference
Physics-informed Neural Operator for Pansharpening
Xinyang Liu, Junming Hou, Chenxu Wu et al.
Anatomically inspired digital twins capture hierarchical object representations in visual cortex
Emanuele Luconi, Dario Liscai, Carlo Baldassi et al.
Towards Visualization-of-Thought Jailbreak Attack against Large Visual Language Models
HongQiong Zhong, Qingyang Teng, Baolin Zheng et al.
Interactive Cross-modal Learning for Text-3D Scene Retrieval
Yanglin Feng, Yongxiang Li, Yuan Sun et al.
Efficient Training of Minimal and Maximal Low-Rank Recurrent Neural Networks
Anushri Arora, Jonathan Pillow
Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration
俊琪 高, Zhichang Guo, Dazhi Zhang et al.
Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation
Yao Teng, Fu-Yun Wang, Xian Liu et al.
Single-pass Adaptive Image Tokenization for Minimum Program Search
Shivam Duggal, Sanghyun Byun, Bill Freeman et al.
RANK++LETR: Learn to Rank and Optimize Candidates for Line Segment Detection
Xin Tong, Baojie Tian, Yufei Guo et al.
NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification
Mélodie Monod, Alessandro Micheli, Samir Bhatt
Accelerating 3D Molecule Generative Models with Trajectory Diagnosis
Zhilong Zhang, Yuxuan Song, Yichun Wang et al.
Learning to Control Free-Form Soft Swimmers
Changyu Hu, Yanke Qu, Qiuan Yang et al.
Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis
Alistair Shilton, Sunil Gupta, Santu Rana et al.
Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration
Yiyuan Pan, Zhe Liu, Hesheng Wang
CroPe: Cross-Modal Semantic Compensation Adaptation for All Adverse Scene Understanding
Qin Xu, Qihang Wu, Lu Hongtao et al.
Complete Structure Guided Point Cloud Completion via Cluster- and Instance-Level Contrastive Learning
Yang Chen, Yirun Zhou, Weizhong Zhang et al.
Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control
Georgios Papoudakis, Thomas Coste, Jianye Hao et al.
Strategyproof Reinforcement Learning from Human Feedback
Thomas Kleine Buening, Jiarui Gan, Debmalya Mandal et al.
BMW: Bidirectionally Memory bank reWriting for Unsupervised Person Re-Identification
Xiaobin Liu, Jianing Li, Baiwei Guo et al.
Implicit-ARAP: Efficient Handle-Guided Neural Field Deformation via Local Patch Meshing
Daniele Baieri, Filippo Maggioli, Emanuele Rodolà et al.
Online Portfolio Selection with ML Predictions
Ziliang Zhang, Tianming Zhao, Albert Zomaya
Normalize Filters! Classical Wisdom for Deep Vision
Gustavo Perez, Stella X. Yu
Conflict-Aware Knowledge Editing in the Wild: Semantic-Augmented Graph Representation for Unstructured Text
Zhange Zhang, Zhicheng Geng, Yuqing Ma et al.
Rig3R: Rig-Aware Conditioning and Discovery for 3D Reconstruction
Samuel Li, Pujith Kachana, Prajwal Chidananda et al.
Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation
Yuyang Huang, Yabo Chen, Junyu Zhou et al.
GD$^2$: Robust Graph Learning under Label Noise via Dual-View Prediction Discrepancy
Kailai Li, Jiong Lou, Jiawei Sun et al.
You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering
Hanyang Li, Yuheng Jia, Hui LIU et al.
Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning
Yaorui Shi, Sihang Li, Chang Wu et al.
In-Context Fully Decentralized Cooperative Multi-Agent Reinforcement Learning
Chao Li, Bingkun BAO, Yang Gao
Spiking Neural Networks Need High-Frequency Information
Yuetong Fang, Deming Zhou, Ziqing Wang et al.
A Unified Analysis of Stochastic Gradient Descent with Arbitrary Data Permutations and Beyond
Yipeng Li, Xinchen Lyu, Zhenyu Liu
Image Stitching in Adverse Condition: A Bidirectional-Consistency Learning Framework and Benchmark
Zengxi Zhang, Junchen Ge, Zhiying Jiang et al.
Fit the Distribution: Cross-Image/Prompt Adversarial Attacks on Multimodal Large Language Models
Hai Yan, Haijian Ma, Xiaowen Cai et al.
Self-Perturbed Anomaly-Aware Graph Dynamics for Multivariate Time-Series Anomaly Detection
Jinyu Cai, Yuan Xie, Glynnis Lim et al.
Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization
Baoyi He, Luotian Yuan, Ying Wei et al.
URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model
Zhe Li, Xiang Bai, Jieyu Zhang et al.
ToF-IP: Time-of-Flight Enhanced Sparse Inertial Poser for Real-time Human Motion Capture
Yuan Yao, Shifan Jiang, Yangqing Hou et al.
Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns
Menghao Zhang, Huazheng Wang, Pengfei Ren et al.
Whose Instructions Count? Resolving Preference Bias in Instruction Fine-Tuning
Jiayu Zhang, Changbang Li, Yinan Peng et al.
CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching
Chen Chen, Pengsheng Guo, Liangchen Song et al.
How to Learn a Star: Binary Classification with Starshaped Polyhedral Sets
Marie-Charlotte Brandenburg, Katharina Jochemko
Non-Asymptotic Guarantees for Average-Reward Q-Learning with Adaptive Stepsizes
Zaiwei Chen
InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models
Yanggan Gu, Yuanyi Wang, Zhaoyi Yan et al.
Thinking vs. Doing: Improving Agent Reasoning by Scaling Test-Time Interaction
Junhong Shen, Hao Bai, Lunjun Zhang et al.
ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio–Language Models
Weifei Jin, Yuxin Cao, Junjie Su et al.
SGN: Shifted Window-Based Hierarchical Variable Grouping for Multivariate Time Series Classification
Zenan Ying, Zhi Zheng, huijun hou et al.
LiveStar: Live Streaming Assistant for Real-World Online Video Understanding
Zhenyu Yang, Kairui Zhang, Yuhang Hu et al.
Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack
Yukun Chen, Boheng Li, Yu Yuan et al.
SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment
QiXu, Dongxu Wei, Lingzhe Zhao et al.
Towards the Resistance of Neural Network Fingerprinting to Fine-tuning
Ling Tang, YueFeng Chen, Hui Xue' et al.
An Effective Levelling Paradigm for Unlabeled Scenarios
Fangming Cui, Zhou Yu, Di Yang et al.
FreeControl: Efficient, Training-Free Structural Control via One-Step Attention Extraction
Jiang Lin, Xinyu Chen, Song Wu et al.
SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert Identification
Zhenglin Lai, Mengyao Liao, Bingzhe Wu et al.
Proxy-SPEX: Sample-Efficient Interpretability via Sparse Feature Interactions in LLMs
Landon Butler, Abhineet Agarwal, Justin Kang et al.
Policy Optimized Text-to-Image Pipeline Design
Uri Gadot, Rinon Gal, Yftah Ziser et al.
A Geometry-Aware Metric for Mode Collapse in Time Series Generative Models
Yassine ABBAHADDOU, Amine Aboussalah
GLID$^2$E: A Gradient-Free Lightweight Fine-tune Approach for Discrete Biological Sequence Design
Hanqun Cao, Haosen Shi, Chenyu Wang et al.
Robust Egocentric Referring Video Object Segmentation via Dual-Modal Causal Intervention
Haijing Liu, Zhiyuan Song, Hefeng Wu et al.
High-Order Flow Matching: Unified Framework and Sharp Statistical Rates
Maojiang Su, Jerry Yao-Chieh Hu, Yi-Chen Lee et al.
FerretNet: Efficient Synthetic Image Detection via Local Pixel Dependencies
Shuqiao Liang, Jian Liu, Chen Renzhang et al.
Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch
Xu Cai, Yang Wu, Qianli Chen et al.
Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking
Zihan Su, Xuerui Qiu, Hongbin Xu Xu et al.
Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free
Zihan Qiu, Zekun Wang, Bo Zheng et al.
Protein Inverse Folding From Structure Feedback
Junde Xu, Zijun Gao, Xinyi Zhou et al.
ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation
Xiaomeng Yang, LEI LU, Qihui Fan et al.
Model-Guided Dual-Role Alignment for High-Fidelity Open-Domain Video-to-Audio Generation
Kang Zhang, Trung X. Pham, Suyeon Lee et al.
Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
Zeqi Ye, Minshuo Chen
CMoB: Modality Valuation via Causal Effect for Balanced Multimodal Learning
Jun Wang, Fuyuan CAO, ZhixinXue et al.
Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization
Fuyuan CAO, Shichang Qiao, Kui Yu et al.
Redefining Experts: Interpretable Decomposition of Language Models for Toxicity Mitigation
Zuhair Hasan Shaik, Abdullah Mazhar, Aseem Srivastava et al.
AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
Zewei Zhou, Tianhui Cai, Seth Zhao et al.
KSP: Kolmogorov-Smirnov metric-based Post-Hoc Calibration for Survival Analysis
Jeongho Park, Daheen Kim, Cheoljun Kim et al.
ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space
Chuanchao Zang, Xiangtao Meng, Wenyu Chen et al.
FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation
Yutong Feng, Xu Liu, Yutong Xia et al.
Mitigating Overthinking in Large Reasoning Models via Manifold Steering
Yao Huang, Huanran Chen, Shouwei Ruan et al.
Compress Large Language Models via Collaboration Between Learning and Matrix Approximation
Yuesen Liao, Zhiwei Li, Binrui Wu et al.
Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives
Sarah Cen, Salil Goyal, Zaynah Javed et al.
Self-Assembling Graph Perceptrons
Jialong Chen, Tong Wang, Bowen Deng et al.
Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing
Massimiliano Ciranni, Vito Paolo Pastore, Roberto Di Via et al.
Democratizing Clinical Risk Prediction with Cross-Cohort Cross-Modal Knowledge Transfer
Qiannan Zhang, Manqi Zhou, Zilong Bai et al.
Gaze Beyond the Frame: Forecasting Egocentric 3D Visual Span
Heeseung Yun, Joonil Na, Jaeyeon Kim et al.
UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection
Jigang Fan, Quanlin Wu, Shengjie Luo et al.
GenIR: Generative Visual Feedback for Mental Image Retrieval
Diji Yang, Minghao Liu, Chung-Hsiang Lo et al.
UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems
Dian Meng, Zhiguang Cao, Jie Gao et al.
Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths
Jindi Lv, Yuhao Zhou, Mingjia Shi et al.
Identifying interactions across brain areas while accounting for individual-neuron dynamics with a Transformer-based variational autoencoder
Qi Xin, Robert E Kass
Text to Sketch Generation with Multi-Styles
Tengjie Li, Shikui Tu, Lei Xu
QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation
Jincheol Yang, Jaemin Choi, Matti Zinke et al.
Solving the Asymmetric Traveling Salesman Problem via Trace-Guided Cost Augmentation
Zhen Zhang, Prof Javen Qinfeng Shi, Wee Sun Lee
GAMMA: Gated Multi-hop Message Passing for Homophily-Agnostic Node Representation in GNNs
Amir Ghazizadeh, Rickard Ewetz, Hao Zheng
Vector Database Watermarking
Zhiwen Ren, Wei Fan, Qiyi Yao et al.
SAINT: Sequence-Aware Integration for Spatial Transcriptomics Multi-View Clustering
Zeyu Zhu, KE LIANG, Lingyuan Meng et al.
Polyline Path Masked Attention for Vision Transformer
Zhongchen Zhao, Chaodong Xiao, Hui LIN et al.
P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models
Tingjia Shen, Hao Wang, Chuhan Wu et al.
Revolutionizing Training-Free NAS: Towards Efficient Automatic Proxy Discovery via Large Language Models
Haidong Kang, Lihong Lin, Hanling Wang
SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement
Chenyu Yang, Shuai Wang, Hangting Chen et al.
Transforming Gaps into Gains: Bridging Model and Data Heterogeneity in Federated Learning via Knowledge Weak-Aware Zones
Ke Li, Yan Ding, Zhiqin Zhu et al.
Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents
Yun Hua, Haosheng Chen, Shiqin Wang et al.
Focus-Then-Reuse: Fast Adaptation in Visual Perturbation Environments
Jiahui Wang, Chao Chen, Jiacheng Xu et al.
SE-GUI: Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning
Xinbin Yuan, Jian Zhang, Kaixin Li et al.
MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details
Ruicheng Wang, Sicheng Xu, Yue Dong et al.
LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering
Jonas Kulhanek, Marie-Julie Rakotosaona, Fabian Manhardt et al.
Generalizable Hand-Object Modeling from Monocular RGB Images via 3D Gaussians
Xingyu Liu, Pengfei Ren, Qi Qi et al.
Beyond Average Value Function in Precision Medicine: Maximum Probability-Driven Reinforcement Learning for Survival Analysis
Jianqi Feng, Chengchun Shi, Zhenke Wu et al.
Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning
Jiawei Gu, Yidi Wang, Qingqiang Sun et al.
Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds
Yunrui Guan, Krishnakumar Balasubramanian, Shiqian Ma
LongVPO: From Anchored Cues to Self-Reasoning for Long-Form Video Preference Optimization
Zhenpeng Huang, Jiaqi Li, zihan jia et al.
Toward Relative Positional Encoding in Spiking Transformers
Changze Lv, Yansen Wang, Dongqi Han et al.
LVLM-Driven Attribute-Aware Modeling for Visible-Infrared Person Re-Identification
Zhiqi Pang, Lingling Zhao, Junjie Wang et al.
No Experts, No Problem: Avoidance Learning from Bad Demonstrations
Huy Hoang, Tien Mai, Pradeep Varakantham
Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data
Shuli Zhang, Hao Zhou, Jiaqi Zheng et al.
MS-BART: Unified Modeling of Mass Spectra and Molecules for Structure Elucidation
Yang Han, Pengyu Wang, Kai Yu et al.
Partition to Evolve: Niching-enhanced Evolution with LLMs for Automated Algorithm Discovery
Qinglong Hu, Qingfu Zhang
Semi-Supervised Regression with Heteroscedastic Pseudo-Labels
Xueqing Sun, Renzhen Wang, Quanziang Wang et al.
Personalized Federated Conformal Prediction with Localization
Yinjie Min, Chuchen Zhang, Liuhua Peng et al.
Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation
Xin Ma, Yifan Wang, Siyu Yi et al.
Dynamic Gaussian Splatting from Defocused and Motion-blurred Monocular Videos
Xuankai Zhang, Junjin Xiao, Qing Zhang
MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning
Han Wu, Jie Yin
Towards Reliable and Holistic Visual In-Context Learning Prompt Selection
Wenxiao Wu, Jing-Hao Xue, Chengming Xu et al.
GUIDED: Granular Understanding via Identification, Detection, and Discrimination for Fine-Grained Open-Vocabulary Object Detection
Jiaming Li, Zhijia Liang, Weikai Chen et al.
Hybrid Re-matching for Continual Learning with Parameter-Efficient Tuning
Weicheng Wang, Guoli Jia, Xialei Liu et al.
Valid Selection among Conformal Sets
Mahmoud Hegazy, Liviu Aolaritei, Michael Jordan et al.
Minimum Width for Deep, Narrow MLP: A Diffeomorphism Approach
Geonho Hwang
Corporate Needs You to Find the Difference: Revisiting Submodular and Supermodular Ratio Optimization Problems
Elfarouk Harb, Yousef Yassin, Chandra Chekuri
NopeRoomGS: Indoor 3D Gaussian Splatting Optimization without Camera Pose Input
Wenbo Li, Yan Xu, Mingde Yao et al.
Enhancing Bioactivity Prediction via Spatial Emptiness Representation of Protein-ligand Complex and Union of Multiple Pockets
Zhiyuan Zhou, Yueming Yin, Yiming Yang et al.
A Unified Framework for Fair Graph Generation: Theoretical Guarantees and Empirical Advances
Zichong Wang, Zhipeng Yin, Wenbin Zhang
MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization
Da Chang, Ganzhao Yuan
EyeBench: Predictive Modeling from Eye Movements in Reading
Omer Shubi, David Robert Reich, Keren Gruteke Klein et al.
HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning
Guancheng Wan, Xiaoran Shang, Yuxin Wu et al.
FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation
Jiacheng Cui, Xinyue Bi, Yaxin Luo et al.
Blameless Users in a Clean Room: Defining Copyright Protection for Generative Models
Aloni Cohen
Vocabulary In-Context Learning in Transformers: Benefits of Positional Encoding
Qian Ma, Ruoxiang Xu, Yongqiang Cai
Multi-agent KTO: Enhancing Strategic Interactions of Large Language Model in Language Game
Rong Ye, Yongxin Zhang, yikai zhang et al.
TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs
Yuxiang Zhang, Zhengxu Yu, Weihang Pan et al.
ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation
Haoqi Wu, Wei Dai, Ming Xu et al.
Is the acquisition worth the cost? Surrogate losses for Consistent Two-stage Classifiers
florence regol, Joseph Cotnareanu, Theodore Glavas et al.
Rethinking the Role of Verbatim Memorization in LLM Privacy
Tom Sander, Bargav Jayaraman, Mark Ibrahim et al.
Adaptive Gradient Masking for Balancing ID and MLLM-based Representations in Recommendation
Yidong Wu, Siyuan Chen, Binrui Wu et al.
Robust learning of halfspaces under log-concave marginals
Jane Lange, Arsen Vasilyan
Wasserstein Convergence of Critically Damped Langevin Diffusions
Stanislas Strasman, Sobihan Surendran, Claire Boyer et al.
DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models
Simone Carnemolla, Matteo Pennisi, Sarinda Samarasinghe et al.
LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas
Yun Hua, Shang Gao, Wenhao Li et al.
Is Limited Participant Diversity Impeding EEG-based Machine Learning?
Philipp Bomatter, Henry Gouk
CAS-Spec: Cascade Adaptive Self-Speculative Decoding for On-the-Fly Lossless Inference Acceleration of LLMs
Zhiyuan Ning, Jiawei Shao, Ruge Xu et al.
Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation
Feichen Gan, Lu Youcun, Yingying Zhang et al.
RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching
Runze Ma, Zhongyue Zhang, Zichen Wang et al.
Data-Free Model Extraction for Black-box Recommender Systems via Graph Convolutions
Zeyu Wang, Yidan Song, Shihao Qin et al.
QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction
Sicheng Zuo, Wenzhao Zheng, Xiaoyong Han et al.
IneqSearch: Hybrid Reasoning for Olympiad Inequality Proofs
Zhaoqun Li, Beishui Liao, Qiwei Ye
Enhanced Expert Merging for Mixture-of-Experts in Graph Foundation Models
Lei Liu, Xingyu Xia, Qianqian Xie et al.
DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration
Hebaixu Wang, Jing Zhang, Haonan Guo et al.
Jury-and-Judge Chain-of-Thought for Uncovering Toxic Data in 3D Visual Grounding
Kaixiang Huang, Qifeng Zhang, Jin Wang et al.
Reliable Lifelong Multimodal Editing: Conflict-Aware Retrieval Meets Multi-Level Guidance
Qiang Zhang, Fanrui Zhang, Jiawei Liu et al.
Optimal Minimum Width for the Universal Approximation of Continuously Differentiable Functions by Deep Narrow MLPs
Geonho Hwang
AdaTS: Learning Adaptive Time Series Representations via Dynamic Soft Contrasts
Denizhan Kara, Tomoyoshi Kimura, Jinyang Li et al.
PALQO: Physics-informed model for Accelerating Large-scale Quantum Optimization
Yiming Huang, Yajie Hao, Yuxuan Du et al.
Wisdom is Knowing What not to Say: Hallucination-Free LLMs Unlearning via Attention Shifting
Chenchen Tan, Youyang Qu, Xinghao Li et al.
Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging
Ibrahim Ethem Hamamci, Sezgin Er, Suprosanna Shit et al.
AegisGuard: RL-Guided Adapter Tuning for TEE-Based Efficient & Secure On-Device Inference
CHE WANG, Ziqi Zhang, Yinggui Wang et al.
Local-Global Coupling Spiking Graph Transformer for Brain Disorders Diagnosis from Two Perspectives
Geng Zhang, Jiangrong Shen, Kaizhong Zheng et al.
SmartCache: Context-aware Semantic Cache for Efficient Multi-turn LLM Inference
Chengye Yu, Tianyu Wang, Zili Shao et al.
Targeted Maximum Likelihood Learning: An Optimization Perspective
Diyang Li, Kyra Gan
Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior
Ruoyu Feng, Yunpeng Qi, Jinming Liu et al.
Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models
Zitong Shi, Guancheng Wan, Haixin Wang et al.
Leaving No OOD Instance Behind: Instance-Level OOD Fine-Tuning for Anomaly Segmentation
Yuxuan Zhang, Zhenbo Shi, han ye et al.
VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
Xiangdong Zhang, Jiaqi Liao, Shaofeng Zhang et al.
DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruning
Sikai Bai, Haoxi Li, Jie ZHANG et al.
SPACE: Noise Contrastive Estimation Stabilizes Self-Play Fine-Tuning for Large Language Models
Yibo Wang, Guangda Huzhang, Qingguo Chen et al.
Boosting Knowledge Utilization in Multimodal Large Language Models via Adaptive Logits Fusion and Attention Reallocation
Wenbin An, Jiahao Nie, Feng Tian et al.
FAST: Foreground‑aware Diffusion with Accelerated Sampling Trajectory for Segmentation‑oriented Anomaly Synthesis
xichen xu, Yanshu Wang, Jinbao Wang et al.
CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning
Yifei Zhang, Hao Zhu, Junhao Dong et al.
GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection
Xin Gao, Jiyao Liu, Guanghao Li et al.
SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning
Chen Chen, Majid Abdolshah, Violetta Shevchenko et al.
Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning
Jiawei Huang, Minming Li, Hu Ding
Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
Jiaqi Wang, Zhiguang Cao, Peng Zhao et al.
Problem-Parameter-Free Decentralized Bilevel Optimization
Zhiwei Zhai, Wenjing Yan, Ying-Jun Zhang
Robust Regression of General ReLUs with Queries
Ilias Diakonikolas, Daniel Kane, Mingchen Ma
Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch?
Yijie Hu, Zihao Zhou, Kaizhu Huang et al.
SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG
Xiaonan Si, Meilin Zhu, Simeng Qin et al.
SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation
Yanwei Ren, Haotian Zhang, Fuxiang Wu et al.
Social World Model-Augmented Mechanism Design Policy Learning
Xiaoyuan Zhang, Yizhe Huang, Chengdong Ma et al.
Regional Explanations: Bridging Local and Global Variable Importance
Salim I. Amoukou, Nicolas Brunel
SimulMEGA: MoE Routers are Advanced Policy Makers for Simultaneous Speech Translation
Chenyang Le, Bing Han, Jinshun Li et al.
QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation
Yang Zhang, Rui Zhang, Jiaming Guo et al.
DUO: No Compromise to Accuracy Degradation
Jinda Jia, Cong Xie, Hanlin Lu et al.
Understanding Bias Terms in Neural Representations
Weixiang Zhang, Boxi Li, Shuzhao Xie et al.
Active Seriation: Efficient Ordering Recovery with Statistical Guarantees
James Cheshire, Yann Issartel
Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation
Jingmin Zhu, Anqi Zhu, Hossein Rahmani et al.
Learning Juntas under Markov Random Fields
Gautam Chandrasekaran, Adam Klivans
VidEmo: Affective-Tree Reasoning for Emotion-Centric Video Foundation Models
Zhicheng Zhang, Weicheng Wang, Yongjie Zhu et al.
Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More Than 9600 GPUs
Guoliang He, Youhe Jiang, Wencong Xiao et al.
Searching Efficient Semantic Segmentation Architectures via Dynamic Path Selection
Yuxi Liu, Min Liu, Shuai Jiang et al.
DIFFSSR: Stereo Image Super-resolution Using Differential Transformer
Dafeng Zhang
Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning
Kai Hu, Zhang Yu, Yuan Zhang et al.
Prior-Guided Flow Matching for Target-Aware Molecule Design with Learnable Atom Number
Jingyuan Zhou, Hao Qian, Shikui Tu et al.
VETA-DiT: Variance-Equalized and Temporally Adaptive Quantization for Efficient 4-bit Diffusion Transformers
Qinkai XU, yijin liu, YangChen et al.
On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks
Mingze Wang, Weinan E
Zeroth-Order Optimization Finds Flat Minima
Liang Zhang, Bingcong Li, Kiran Thekumparampil et al.
CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination
Yuena Lin, Hao Wei, Hai-Chun Cai et al.