2025 Papers
21,856 papers found • Page 400 of 438
Towards Understanding How Knowledge Evolves in Large Vision-Language Models
Sudong Wang, Yunjian Zhang, Yao Zhu et al.
Towards Understanding Parametric Generalized Category Discovery on Graphs
Bowen Deng, Lele Fu, Jialong Chen et al.
Towards Understanding Safety Alignment: A Mechanistic Perspective from Safety Neurons
Jianhui Chen, Xiaozhi Wang, Zijun Yao et al.
Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias
Rui Lu, Runzhe Wang, Kaifeng Lyu et al.
Towards Understanding the Mechanisms of Classifier-Free Guidance
Xiang Li, Rongrong Wang, Qing Qu
Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective
Yiming Liu, Kezhao Liu, Yao Xiao et al.
Towards Understanding the Universality of Transformers for Next-Token Prediction
Michael Sander, Gabriel Peyré
Towards Understanding Transformers in Learning Random Walks
Wei Shi, Yuan Cao
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Jingyang Li, Jiachun Pan, Vincent Tan et al.
Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It
Guoxuan Xia, Olivier Laurent, Gianni Franchi et al.
Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling
Yanchen Luo, ZHIYUAN LIU, Yi Zhao et al.
Towards Unified Human Motion-Language Understanding via Sparse Interpretable Characterization
guangtao lyu, Chenghao Xu, Jiexi Yan et al.
Towards Unified Multimodal Interleaved Generation via Group Relative Policy Optimization
Ming Nie, Chunwei Wang, Jianhua Han et al.
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments
Marharyta Domnich, Julius Välja, Rasmus Moorits Veski et al.
Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network
Haifeng Zhang, Qinghui He, Xiuli Bi et al.
Towards Universal Dataset Distillation via Task-Driven Diffusion
Ding Qi, Jian Li, Junyao Gao et al.
Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures
Junxuan Wang, Xuyang Ge, Wentao Shu et al.
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings
Rong-Xi Tan, Ming Chen, Ke Xue et al.
Towards Universal Rainy Image Restoration: Benchmark and Baseline
Hujie Yan
Towards Universal Soccer Video Understanding
Jiayuan Rao, Haoning Wu, Hao Jiang et al.
Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation
Wangkai Li, Rui Sun, Huayu Mai et al.
Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming
Zhen Zhang, Bingsheng He
Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN
Wei Huang, Hanchen Wang, Dong Wen et al.
Towards Verifiable Text Generation with Generative Agent
Bin Ji, Huijun Liu, Mingzhe Du et al.
Towards Video Thinking Test: A Holistic Benchmark for Advanced Video Reasoning and Understanding
Yuanhan Zhang, Yunice Chew, Yuhao Dong et al.
Towards Visual Discrimination and Reasoning of Real-World Physical Dynamics: Physics-Grounded Anomaly Detection
wenqiao Li, Yao Gu, Xintao Chen et al.
Towards Visualization-of-Thought Jailbreak Attack against Large Visual Language Models
HongQiong Zhong, Qingyang Teng, Baolin Zheng et al.
Towards Visual Localization Interoperability: Cross-Feature for Collaborative Visual Localization and Mapping
Alberto Jaenal, Paula Carbó Cubero, Jose Araujo et al.
Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation
Fanqing Meng, Jiaqi Liao, Xinyu Tan et al.
Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models
Jiacong Xu, Shao-Yuan Lo, Bardia Safaei et al.
Toward Understanding In-context vs. In-weight Learning
Bryan Chan, Xinyi Chen, Andras Gyorgy et al.
Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation
Guanting Dong, Xiaoshuai Song, Yutao Zhu et al.
ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training
Xin Yao, Haiyang Zhao, Yimin Chen et al.
Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories
Xiaohan Zhang, Zhenyu Sun, Yukui Qiu et al.
TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view Clustering
Zhongwen Wang, Xingfeng Li, Yinghui Sun et al.
TPG-INR: Target Prior-Guided Implicit 3D CT Reconstruction for Enhanced Sparse-view Imaging
QingleiCao QingleiCao, Ziyao Tang, Xiaoqin Tang
TP-MDDN: Task-Preferenced Multi-Demand-Driven Navigation with Autonomous Decision-Making
Shanshan Li, Da Huang, Yu He et al.
TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees
Weibin Liao, Xu Chu, Yasha Wang
TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding
Shukai Gong, YIYANG FU, Fengyuan Ran et al.
Trace3D: Consistent Segmentation Lifting via Gaussian Instance Tracing
Hongyu Shen, Junfeng Ni, Weishuo Li et al.
TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation
Gwen Yidou-Weng, Benjie Wang, Guy Van den Broeck
TRACE: Contrastive learning for multi-trial time series data in neuroscience
Lisa Schmors, Dominic Gonschorek, Jan Niklas Böhm et al.
TraceGrad: a Framework Learning Expressive SO(3)-equivariant Non-linear Representations for Electronic-Structure Hamiltonian Prediction
Shi Yin, Xinyang Pan, fengyan wang et al.
TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval
Jialin Chen, Ziyu Zhao, Gaukhar Nurbek et al.
TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos
Jinxi Li, Ziyang Song, Bo Yang
TRACE: Temporal Grounding Video LLM via Causal Event Modeling
Yongxin Guo, Jingyu Liu, Mingda Li et al.
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies
Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang et al.
TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs
Yusheng Zhao, Changhu Wang, Xiao Luo et al.
Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning
Yuqi Jia, Minghong Fang, Hongbin Liu et al.
Tracing Copied Pixels and Regularizing Patch Affinity in Copy Detection
Yichen Lu, Siwei Nie, Minlong Lu et al.