Tree of Uncertain Thoughts Reasoning for Large Language Models

Tree of Uncertain Thoughts Reasoning for Large Language Models

14 September 2023

Shentong Mo

Papers citing "Tree of Uncertain Thoughts Reasoning for Large Language Models"

14 / 14 papers shown

Title
Bonsai: Interpretable Tree-Adaptive Grounded Reasoning Kate Sanders Benjamin Van Durme LRM 43 1 0 04 Apr 2025
Entropy-based Exploration Conduction for Multi-step Reasoning Jinghan Zhang Xiting Wang Fengran Mo Yeyang Zhou Wanfu Gao Kunpeng Liu LRM 59 1 0 20 Mar 2025
Random Forest-of-Thoughts: Uncertainty-aware Reasoning for Computational Social Science Xiaohua Wu Xiaohui Tao Wenjie Wu Yuefeng Li Lin Li BDL LRM AI4CE 53 0 0 26 Feb 2025
Mathematical Language Models: A Survey Wen Liu Hanglei Hu Jie Zhou Yuyang Ding Junsong Li ... Mengliang He Qin Chen Bo Jiang Aimin Zhou Liang He LRM 87 13 0 03 Jan 2025
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering Xinyan Guan Yanjiang Liu Xinyu Lu Boxi Cao Xianpei Han ... Le Sun Jie Lou Bowen Yu Yaojie Lu Hongyu Lin ALM 89 2 0 18 Nov 2024
Blind Spot Navigation in LLM Reasoning with Thought Space Explorer Jinghan Zhang Fengran Mo Xiting Wang Kunpeng Liu LM&Ro LRM 63 1 0 31 Oct 2024
We Choose to Go to Space: Agent-driven Human and Multi-Robot Collaboration in Microgravity Miao Xin Zhongrui You Zihan Zhang Taoran Jiang Tingjia Xu Haotian Liang Guojing Ge Yuchen Ji Shentong Mo Jian Cheng 37 0 0 22 Feb 2024
Reward Generalization in RLHF: A Topological Perspective Tianyi Qiu Fanzhi Zeng Jiaming Ji Dong Yan Kaile Wang Jiayi Zhou Yang Han Josef Dai Xuehai Pan Yaodong Yang AI4CE 32 4 0 15 Feb 2024
Demystifying Chains, Trees, and Graphs of Thoughts Maciej Besta Florim Memedi Zhenyu Zhang Robert Gerstenberger Guangyuan Piao ... Aleš Kubíček H. Niewiadomski Aidan O'Mahony Onur Mutlu Torsten Hoefler AI4CE LRM 75 27 0 25 Jan 2024
The Tyranny of Possibilities in the Design of Task-Oriented LLM Systems: A Scoping Survey Dhruv Dhamani Mary Lou Maher 40 1 0 29 Dec 2023
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis Yuxin Xiao Paul Pu Liang Umang Bhatt Willie Neiswanger Ruslan Salakhutdinov Louis-Philippe Morency 175 87 0 10 Oct 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 352 3,338 0 21 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 447 8,699 0 28 Jan 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015