Papers
176,624 papers found
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.
ThreadSumm: Summarization of Nested Discourse Threads Using Tree of Thoughts
Olubusayo Olabisi, Ekata Mitra, Ameeta Agrawal