Papers
Thinking Alignment of Scenario-Oriented User Simulation
Xiaoting Wu, Yi Huang, Chunyang Gao et al.
Thinking-Based Non-Thinking: Solving the Reward Hacking Problem in Training Hybrid Reasoning Models via Reinforcement Learning
Siyuan Gan, Jiaheng Liu, Boyan Wang et al.
Thinking beyond the anthropomorphic paradigm benefits LLM research
Lujain Ibrahim, Myra Cheng
Thinking Beyond the Local: Multi-View Instructed Adaptive Reasoning in KG-Enhanced LLMs
Minghan Zhang, Shu Zhao, Zhen Yang et al.
Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning
Wenda Wei, Yu-An Liu, Ruqing Zhang et al.
Thinking in Schemas: Robust Syllogistic Reasoning in LLMs
Federico Ranaldi, Leonardo Ranaldi, Fabio Massimo Zanzotto et al.
Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models
Michael R. Metel, Yufei Cui, Boxing Chen et al.
Thinking Through the Hands: An Exploratory Study of Hand Movements to Assess Students Problem-Solving in Mechanistic Reasoning Tasks
Harshil Safi, Megha Bansal, Madhu Vadali et al.
Thinking with Reasoning Skills: Fewer Tokens, More Accuracy
Guangxiang Zhao, Qilong Shi, Xusen Xiao et al.
Think in Latent Thoughts: A New Paradigm for Gloss-Free Sign Language Translation
Yiyang Jiang, Li Zhang, Xiao-Yong Wei et al.
Think in Sentences: Explicit Sentence Boundaries Enhance Language Model’s Capabilities
Zhichen Liu, Yongyuan Li, Yang Xu
Think-J: Learning to Think for Generative LLM-as-a-Judge
Hui Huang, Yancheng He, Hongli Zhou et al.
Think Just Enough: Leveraging Self-Assessed Confidence for Adaptive Reasoning in Language Models
Junyeob Kim, Sang-goo Lee, Taeuk Kim
Think Less, Code Better: Probing When Chain-of-Thought Hurts and How to Route Around It
Rajarshi Ghoshal, Debadri Basak, Salma Emad Mahmoud Abdelhalim et al.
Think Like You Execute: Verifiable Chain of Thought from Program Traces
Shailja Thakur, Vaibhav Saxena, Rohan Kulkarni et al.
Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement Learning
Xue Zhang, Yunlong Liang, Fandong Meng et al.
ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling
Zhipeng Xu, Zhenghao Liu, Yukun Yan et al.
Think Parallax: Solving Multi-Hop Problems via Multi-View Knowledge-Graph-Based Retrieval-Augmented Generation
Jinliang Liu, Jiale Bai, Shaoning Zeng
ThinkPersona: Thinking with Persona Graphs for Faithful Individualized Role-Playing
Yichen Cai, Pei Chen, Jiayang Li et al.
ThinkPilot: Steering Reasoning Models via Automated Think-prefixes Optimization
Sunzhu Li, Zhiyu Lin, Jiale Zhao et al.
Think, Speak, Decide: Language-Augmented Multi-Agent Reinforcement Learning for Economic Decision-Making
Heyang Ma, Qirui Mi, Qipeng Yang et al.
Think Then Rewrite: Reasoning Enhanced Query Rewriting for Domain Specific Retrieval
Ang Li, Yufei Shi, Yuxuan Si et al.
Think Wise, Collaborate Effectively: A Rationale-Aware LLM-Based Recommender with Reinforcement Learning from Collaborative Signals
Chung Park, Taesan Kim, Hyeongjun Yun et al.
THOR: A Theta-Gamma Hierarchical Oscillatory Reasoning Framework for Multi-hop QA
Ziyang Ling, Ronald X. Xu, Mingzhai Sun
TH-RAG : Topic-Based Hierarchical Knowledge Graphs for Robust Multi-hop Reasoning in Graph-based RAG Systems
JungHyoun Kim, Soohyeong Kim, Seok Jun Hwang et al.