Papers
TAIGR: Towards Modeling Influencer Content on Social Media via Structured, Pragmatic Inference
Nishanth Sridhar Nakshatri, Eylon Caplan, Rajkumar Pujari et al.
Tailored Primitive Initialization is the Secret Key to Reinforcement Learning
Yihang Yao, Guangtao Zeng, Raina Wu et al.
Tailoring Diagnostic Modeling to Individual Learners: Personalized Distractor Generation via MCTS-Guided Reasoning Reconstruction
Tao Wu, Jingyuan Chen, Wang Lin et al.
TALAS: Teacher-Anchored Layer Alignment with Adaptive Sharpness-Aware Minimization for Embedding Distillation
Quoc Phong Dao, Hoang Son Nguyen, Pham Khanh Chi 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
TalkLoRA: Communication-Aware Mixture of Low-Rank Adaptation for Large Language Models
Lin Mu, Haiyang Wang, Li Ni 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 Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage Reweighting
Cheng Wang, Qin Liu, Wenxuan Zhou et al.
Taming System Complexity: Demystifying Software Engineering Agents in Diagnosing Linux Kernel Faults
Zhenhao Zhou, Zhuochen Huang, Yike He et al.
Taming "Zombie" Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution
Taolin Zhang, Pukun Zhao, Qizhou Chen et al.
TaoType: Predicting Fine-Grained Typing Intent for Faster Search
Yipeng Yu, Yichen Yuan, Chengxiao Feng et al.
TARE: Lightweight Token-Aware Representation Editing for Fine-tuning Transformer-like Models
Yulong Wang, Siyu Zhao
TartanMaroon: Multi-Agent Academic Advising with Iterative Negotiation and Transparent Collaboration
Peidi Dong, Houda Bouamor, Yunze Xiao et al.
Task Assignment meets Annotator Modeling: Human-LLM Collaborative Annotation with Constraints
Kei Moriyama, Kouta Nakayama, Yukino Baba
Task-Aware LLM Routing with Multi-Level Task-Profile-Guided Data Synthesis for Cold-Start Scenarios
Hui Liu, Bin Zou, Kecheng Chen et al.
TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice
Gang Hu, Yating Chen, Haiyan Ding et al.
TEA-Bench: A Systematic Benchmarking of Tool-enhanced Emotional Support Dialogue Agent
Xingyu Sui, Yanyan Zhao, Yulin Hu et al.
Teach a Reward Model to Correct Itself: Reward Guided Adversarial Failure Discovery for Robust Reward Modeling
Pankayaraj Pathmanathan, Furong Huang
Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking Strategies
Yuxuan Ye, Raul Santos-Rodriguez, Edwin Simpson
Teaching LLMs Human-Like Editing of Inappropriate Argumentation via Reinforcement Learning
Timon Ziegenbein, Maja Stahl, Henning Wachsmuth
Teaching LLM to be Persuasive: Reward-Enhanced Policy Optimization for Alignment from Heterogeneous Rewards
Xia Zeng, Yihan Chen, Luhui Liu et al.
TeachMaster: Generative Teaching via Code
Yuheng Wang, Runde Yang, Lin Wu et al.