Papers
TalkingPose: Efficient Face and Gesture Animation with Feedback-guided Diffusion Model
Alireza Javanmardi, Pragati Jaiswal, Tewodros Amberbir Habtegebrial et al.
Talking to a Know-It-All GPT or a Second-Guesser Claude? How Repair reveals distinct Multi-Turn Behavior in LLMs
Clara Lachenmaier, Hannah Bultmann, Sina Zarrieß
Talking Trails: LLM-Enhanced Spatiotemporal Trajectory Modeling for E-Bike Delivery Route Planning
Zhao Li, Mingwu Liu, Xu-Hua Yang et al.
TalkLoRA: Communication-Aware Mixture of Low-Rank Adaptation for Large Language Models
Lin Mu, Haiyang Wang, Li Ni et al.
Talk, Snap, Complain: Validation-Aware Multimodal Expert Framework for Fine-Grained Customer Grievances
Rishu Kumar Singh, Navneet Shreya, Sarmistha Das et al.
Talon: Breaking the Synchronization Barrier in Speculative Decoding with Hybrid Model-based and Retrieve-based Drafting
Xiangxiang Gao, Weisheng Xie, Lixin et al.
TAMAS: Benchmarking Adversarial Risks in Multi-Agent LLM Systems
Ishan Kavathekar, Hemang Jain, Ameya Rathod et al.
TAMA: Target-Aware Multilingual Abuse Detection by Cascaded Conditional Multi-Task Learning
JiYan Liu, Youzheng Liu, Taihang Wang et al.
TamEdit: Trajectory-Aware Meta-Learning for Specificity-Preserving Continual Knowledge Editing
Shiqiang Tian, Cheng Ding, Qin Chen et al.
Taming Actor-Observer Asymmetry in Agents via Dialectical Alignment
Bobo Li, Wu Rui, Zibo Ji et al.
Taming Cascaded Mixture-of-Experts for Modality-missing Multi-modal Salient Object Detection
Kunpeng Wang, Feifan Sun, Keke Chen
Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage Reweighting
Cheng Wang, Qin Liu, Wenxuan Zhou et al.
Taming Object Hallucinations with Verified Atomic Confidence Estimation
Jiarui Liu, Weihao Xuan, Zhijing Jin et al.
Taming System Complexity: Demystifying Software Engineering Agents in Diagnosing Linux Kernel Faults
Zhenhao Zhou, Zhuochen Huang, Yike He et al.
Taming the Phantom: Token-Asymmetric Filtering for Hallucination Mitigation in Large Vision-Language Models
Shuyi Ouyang, Hongyi Wang, Gongfan Fang et al.
Taming "Zombie" Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution
Taolin Zhang, Pukun Zhao, Qizhou Chen et al.
Tandem Training for Language Models
Robert West, Ashton Anderson, Ece Kamar et al.
Tao–Filipino Neural Machine Translation: Strategies for Ultra–Low-Resource Settings
Adrian Denzel Macayan, Luis Andrew Sunga Madridijo, Ellexandrei Esponilla et al.
TaoType: Predicting Fine-Grained Typing Intent for Faster Search
Yipeng Yu, Yichen Yuan, Chengxiao Feng et al.
Tapas Are Free! Training-Free Adaptation of Programmatic Agents via LLM-Guided Program Synthesis in Dynamic Environments
Jinwei Hu, Yi Dong, Youcheng Sun et al.
TAP-CT: 3D Task-Agnostic Pretraining of Computed Tomography Foundation Models
Tim Veenboer, George Yiasemis, Eric Marcus et al.
TAPO: Dynamic Teacher and Perturbed Answer Injection for Policy Optimization
Maowei Jiang, Zihang Wang, Qi Wang et al.
TA-Prompting: Enhancing Video Large Language Models for Dense Video Captioning via Temporal Anchors
Wei-Yuan Cheng, Kai-Po Chang, Chi-Pin Huang et al.
T-APT: Text-Guided Modality-Aware Prompt Tuning for Arbitrary Multimodal Remote Sensing Data Joint Classification
Qinghao Gao, Jiahui Qu, Wenqian Dong