Papers
TinyJudge: Unverifiable Constraint Alignment via Lightweight Specialist Ensembles
Yirong Zeng, Yufei Liu, Xiao Ding et al.
Tiny Scales, Great Challenges: The Limits of Multimodal LLMs in Scale Recognition
Jihang Jin, Ronghao Chen, Hao Zhang et al.
TLoRA: Task-aware Low Rank Adaptation of Large Language Models
Weicheng Lin, Yi Zhang, Jiawei Dang et al.
TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models
Jinho Choo, JunSeung Lee, Jimyeong Kim et al.
TLSA: LLM-Guided Text-Label Space Alignment with Contrastive Learning for Generalized Category Discovery
Wenxi Xu, Chuan Qin, Xi Chen et al.
To Judge or Not to Judge: Can Large Language Models Leverage the Dispute Focus in Legal Judgment?
Luoming Hu, Liang Yang, Jingjie Zeng et al.
TokCollate: A Comprehensive Tool for Tokenizer Evaluation and Visualization across Languages
Dušan Variš, Abishek Stephen, Jindřich Libovický
TokDrift: When LLM Speaks in Subwords but Code Speaks in Grammar
Yinxi Li, Yuntian Deng, Pengyu Nie
Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via sequence-level likelihood
Xingyu Lin, Yilin Wen, Du Su et al.
TokenTiming: A Dynamic Alignment Method for Universal Speculative Decoding Model Pairs
Sibo Xiao, Fu Jinyuan, Zhongle Xie et al.
TokLens: A Multilingual Lens on Tokenizer Quality for LLMs
Guan-Ming Chiu
To Lie or Not to Lie? Investigating The Biased Spread of Global Lies by LLMs
Zohaib Khan, Mustafa Dogan, Ifeoma Okoh et al.
ToMMeR - Efficient Entity Mention Detection from Large Language Models
Victor Morand, Nadi Tomeh, Josiane Mothe et al.
Tonal Salience in Cognitive Decline: In-Context MCI Detection with Multimodal LLMs
Christopher Song, Abdullah P. Rashed Ahmed
TONY: an open-source TOolkit for Nlp in psYchology
Federico Ravenda, Sofia Irene Ravenda, Volodymyr Karpenko et al.
Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data
Zhenwen Liang, Yujun Zhou, Sidi Lu et al.
ToolOmni: Enabling Open-World Tool Use via Agentic learning with Proactive Retrieval and Grounded Execution
Shouzheng Huang, Meishan Zhang, Baotian Hu et al.
Too Long, Do Re-weighting for Efficient LLM Reasoning Compression
Zhong-Zhi Li, Xiao Liang, Zihao Tang et al.
ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling
Jianghao Lin, Yuanyuan Shi, Xin Peng et al.
ToolScope: Enhancing LLM Agent Tool Use through Tool Merging and Context-Aware Filtering
Marianne Menglin Liu, Daniel Garcia, Fjona Parllaku et al.
Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models
Arya Shah, Deepali Mishra, Chaklam Silpasuwanchai
To Think or Not to Think: The Hidden Cost of Meta-Training with Excessive CoT Examples
Vignesh Kothapalli, Ata Fatahibaarzi, Hamed Firooz et al.
Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement
Qimin Zhong, Hao Liao, Haiming Qin et al.
Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval
Hao Xu, Rite Bo, Fausto Giunchiglia et al.