Papers
TRACE: Evaluating Execution Efficiency of LLM-Based Code Translation
Zhihao Gong, Zeyu Sun, Dong Huang et al.
TRACE: Traversal Retrieval-Augmented Chain of Evidence for Document Understanding
Liqi He, Zuchao Li, Hao Huang et al.
Tracing Logit Trajectories Across Layer Depth: Dataset-Level Explainability for Language Models
Jeesu Jung, Sangkeun Jung
Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs
Yu Li, Xiaoran Shang, Qizhi Pei et al.
TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy Optimization
Sitong Wu, Haoru Tan, Xichen Zhang et al.
Traffic-R1: Reinforced LLMs Bring Human-Like Reasoning to Traffic Signal Control Systems
Xingchen Zou, Yuhao Yang, Zheng Chen et al.
Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability
Xiao Liang, Zhong-Zhi Li, Zhenghao Lin et al.
Trait Activation in Silicon: A Situation-Aware Framework for Psychologically Grounded Role-Playing
Zuolong Li, Pingyu Wu, Xianwen Huang et al.
Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents
Ziyi Wang, Yuxuan Lu, Yimeng Zhang et al.
Trajectory Signatures of Deception in Large Language Models
Viraaji Mothukuri, Reza M. Parizi
Transfer Learning for Generalizable Automated LLM Improvement Pipeline for IVR Navigation
Vishal Sankar Ram, Jason Kushner, Manas Paldhe et al.
Translation or Recitation? Calibrating Evaluation Scores for Machine Translation of Extremely Low-Resource Languages
Danlu Chen, Ka Sing He, Jiahe Tian et al.
Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation
Yongshi Ye, Biao Fu, Chongxuan Huang et al.
TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting
Jiaming Leng, Yunying Bi, Chuan Qin et al.
TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking
Xiaocheng Zhang, Xi Wang, Yifei Lu et al.
TrendPulse: A Simple yet Efficient Framework for Capturing Viral E-Commerce Spikes via LLM-Driven Contextualization
Arin Jain, Devashish Gupta, Bhavuk Singhal et al.
TriEx: A Game-based Tri-View Framework for Explaining Internal Reasoning in Multi-Agent LLMs
Ziyi Wang, Chen Zhang, Wenjun Peng et al.
TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment
Zhewen Tan, Wenhan Yu, Jianfeng Si et al.
Triviality Corrected Endogenous Reward
Xinda Wang, Zhengxu Hou, Yangshijie Zhang et al.
TRN-R1-Zero: Text-rich Network Reasoning via LLMs with Reinforcement Learning Only
Yilun Liu, Ruihong Qiu, Zi Huang
TROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process Rewards
Xiqiao Xiong, Ouxiang Li, Zhuo Liu et al.
TrustTable: A Neuro-Symbolic Auditing Framework for Faithful Table QA
Guangzhen Zhao, Dechang Kong, Tongyu Wu et al.
Trust Within? Seek Beyond? Knowledge Boundary Aware Policy Optimization for Agentic Search
Tao Feng, Xinke Jiang, Xinyan Hu et al.
Truth as a Trajectory: What Internal Representations Reveal About Large Language Model Reasoning
Hamed Damirchi, Imezadelajara, Ehsan Abbasnejad et al.