大模型推理能力

Empowering Smaller Models: Tuning LLaMA and Gemma with Chain-of-Thought for Ukrainian Exam Tasks

Mykyta Syromiatnikov, Victoria Ruvinskaya, Nataliia Komleva

专题命中 复杂问题求解 ：chain-of-thought(title,abstract)；reasoning(abstract)；分类 cs.CL、cs.AI

Comments 12 pages, 6 tables, 2 figures

VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models

Zejun Li, Ruipu Luo, Jiwen Zhang, Minghui Qiu, Xuanjing Huang, Zhongyu Wei

专题命中 复杂问题求解 ：reasoning(title,abstract)；chain-of-thought(abstract)；分类 cs.CL、cs.AI

Comments Accepted by NAACL 2025 main conference

Attentive Reasoning Queries: A Systematic Method for Optimizing Instruction-Following in Large Language Models

Bar Karov, Dor Zohar, Yam Marcovitz

专题命中 复杂问题求解 ：reasoning(title,abstract)；chain-of-thought(abstract)；分类 cs.CL、cs.AI

Comments Supplementary materials, including code, is available on our GitHub: https://github.com/emcie-co/parlant/tree/arqs-a-systematic-method-for-optimizing-instruction-following-in-llms

Reasoning about Affordances: Causal and Compositional Reasoning in LLMs

Magnus F. Gjerde, Vanessa Cheung, David Lagnado

专题命中 复杂问题求解 ：reasoning(title,abstract)；chain-of-thought(abstract)；分类 cs.CL、cs.AI

Comments 21 pages, 7 figures, 3 tables

Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment

Yuze Zhao, Tianyun Ji, Wenjun Feng, Zhenya Huang, Qi Liu, Zhiding Liu, Yixiao Ma, Kai Zhang, Enhong Chen

专题命中 复杂问题求解 ：reasoning(title,abstract)；logical reasoning(abstract)；分类 cs.AI、cs.LG

Comments ICLR 2025 Poster;23 pages, 7 figures

TextGames: Learning to Self-Play Text-Based Puzzle Games via Language Model Reasoning

Frederikus Hudi, Genta Indra Winata, Ruochen Zhang, Alham Fikri Aji

专题命中 复杂问题求解 ：reasoning(title,abstract)；logical reasoning(abstract)；分类 cs.CL、cs.AI

Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph Structures

Tushar Pandey, Ara Ghukasyan, Oktay Goktas, Santosh Kumar Radha

专题命中 复杂问题求解 ：reasoning(title,abstract)；CoT(abstract)；分类 cs.CL、cs.AI

MyGO Multiplex CoT: A Method for Self-Reflection in Large Language Models via Double Chain of Thought Thinking

Shihao Ji, Zihui Song, Fucheng Zhong, Jisen Jia, Zhaobo Wu, Zheyi Cao, Tianhao Xu

专题命中 复杂问题求解 ：CoT(title,abstract)；reasoning(abstract)；分类 cs.CL、cs.AI

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks

Wentao Wan, Zhuojie Yang, Yongcan Chen, Chenglin Luo, Ruilin Wang, Kehao Cai, Nan Kang, Liang Lin, Keze Wang

专题命中 复杂问题求解 ：reasoning(title,abstract)；chain-of-thought(abstract)；分类 cs.CL、cs.AI

Comments This paper has been accepted by AAAI 2025

AutoReason: Automatic Few-Shot Reasoning Decomposition

Arda Sevinc, Abdurrahman Gumus

专题命中 复杂问题求解 ：reasoning(title,abstract)；CoT(abstract)；分类 cs.CL、cs.AI

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce Ho, Carl Yang, May D. Wang

专题命中 复杂问题求解 ：reasoning(title,abstract)；planning(abstract)；分类 cs.CL、cs.AI

Comments Accepted in EMNLP 2024 main conference

STOC-TOT: Stochastic Tree-of-Thought with Constrained Decoding for Complex Reasoning in Multi-Hop Question Answering

Zhenyu Bi, Daniel Hajialigol, Zhongkai Sun, Jie Hao, Xuan Wang

专题命中 复杂问题求解 ：reasoning(title,abstract)；chain-of-thought(abstract)；分类 cs.CL、cs.AI

Comments 10 pages, 5 figures

Two-Pronged Human Evaluation of ChatGPT Self-Correction in Radiology Report Simplification

Ziyu Yang, Santhosh Cherian, Slobodan Vucetic

专题命中 复杂问题求解 ：self-correction(title,abstract)；chain-of-thought(abstract)；分类 cs.CL、cs.AI

The Impact of Reasoning Step Length on Large Language Models

Mingyu Jin, Qinkai Yu, Dong Shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du

专题命中 复杂问题求解 ：reasoning(title,abstract)；CoT(abstract)；分类 cs.CL、cs.AI

Comments Findings of ACL 2024

Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models

Junchi Yu, Ran He, Rex Ying

专题命中 复杂问题求解 ：reasoning(title,abstract)；planning(abstract)；分类 cs.CL、cs.AI

Comments ICLR 2024

StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought Decompilation

Weike Fang, Zhejian Zhou, Junzhou He, Weihang Wang

专题命中 复杂问题求解 ：chain-of-thought(title,abstract)；reasoning(abstract)；分类 cs.AI、cs.LG

Comments 9 pages. In the Proceedings of the 41st International Conference on Machine Learning (ICML' 24)

Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models

Yitian Li, Jidong Tian, Hao He, Yaohui Jin

专题命中 复杂问题求解 ：reasoning(title,abstract)；chain-of-thought(abstract)；分类 cs.CL、cs.AI

$\texttt{LM}^\texttt{2}$: A Simple Society of Language Models Solves Complex Reasoning

Gurusha Juneja, Subhabrata Dutta, Tanmoy Chakraborty

专题命中 复杂问题求解 ：reasoning(title,abstract)；verifier(abstract)；分类 cs.CL、cs.AI

Towards Robust Multi-Modal Reasoning via Model Selection

Xiangyan Liu, Rongxue Li, Wei Ji, Tao Lin

专题命中 复杂问题求解 ：reasoning(title,abstract)；planning(abstract)；分类 cs.AI、cs.LG

Comments Accepted by ICLR 2024

Large Language Models Cannot Self-Correct Reasoning Yet

Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou

专题命中 复杂问题求解 ：reasoning(title,abstract)；self-correction(abstract)；分类 cs.CL、cs.AI

Comments ICLR 2024

Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data

Yiwei Li, Peiwen Yuan, Shaoxiong Feng, Boyuan Pan, Bin Sun, Xinglin Wang, Heda Wang, Kan Li

专题命中 复杂问题求解 ：reasoning(title,abstract)；chain-of-thought(abstract)；分类 cs.CL、cs.AI

Comments AAAI 2024

SPRING: Studying the Paper and Reasoning to Play Games

Yue Wu, Shrimai Prabhumoye, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Tom Mitchell, Yuanzhi Li

专题命中 复杂问题求解 ：reasoning(title,abstract)；chain-of-thought(abstract)；分类 cs.AI、cs.LG

Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples

Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Seyed Mehran Kazemi, Najoung Kim, He He

专题命中 复杂问题求解 ：reasoning(title,abstract)；chain-of-thought(abstract)；分类 cs.CL、cs.AI

Comments Published as a conference paper at NeurIPS 2023

TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration

Hongru Wang, Huimin Wang, Lingzhi Wang, Minda Hu, Rui Wang, Boyang Xue, Hongyuan Lu, Fei Mi, Kam-Fai Wong

专题命中 复杂问题求解 ：reasoning(title,abstract)；planning(abstract)；分类 cs.CL、cs.AI

Recursion of Thought: A Divide-and-Conquer Approach to Multi-Context Reasoning with Language Models

Soochan Lee, Gunhee Kim

专题命中 复杂问题求解 ：reasoning(title,abstract)；CoT(abstract)；分类 cs.CL、cs.AI

Comments ACL 2023 (short, findings)

Strategic Reasoning with Language Models

Kanishk Gandhi, Dorsa Sadigh, Noah D. Goodman

专题命中 复杂问题求解 ：reasoning(title,abstract)；chain-of-thought(abstract)；分类 cs.CL、cs.AI

Distilling Reasoning Capabilities into Smaller Language Models

Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan

专题命中 复杂问题求解 ：reasoning(title,abstract)；CoT(abstract)；分类 cs.CL、cs.LG

Comments Accepted at ACL 2023 (Findings)

Explain Before You Answer: A Survey on Compositional Visual Reasoning

回答之前先解释：组合视觉推理综述

Fucai Ke, Joy Hsu, Zhixi Cai, Zixian Ma, Xin Zheng, Xindi Wu, Sukai Huang, Weiqing Wang, Pari Delir Haghighi, Gholamreza Haffari, Ranjay Krishna, Jiajun Wu, Hamid Rezatofighi

机构 * Monash University（墨尔本大学） ； Stanford University（斯坦福大学） ； University of Washington（华盛顿大学） ； Griffith University（格里菲斯大学） ； Princeton University（普林斯顿大学） ； Allen Institute for Artificial Intelligence（人工智能研究院） 纠错

专题命中 复杂问题求解 ：reasoning(title,abstract)；chain-of-thought(abstract)；分类 cs.AI

AI总结 综述2023年至2025年组合视觉推理文献，形式化核心定义，追溯范式转变，编目基准指标，提炼见解、识别挑战并概述方向，为该领域提供统一分类、历史路线图和批判性展望。

Comments Project Page: https://github.com/pokerme7777/Compositional-Visual-Reasoning-Survey

Characterizing, Evaluating, and Optimizing Complex Reasoning

表征、评估与优化复杂推理

Haoran Zhang, Yafu Li, Zhi Wang, Zhilin Wang, Shunkai Zhang, Xiaoye Qu, Yu Cheng

机构 * School of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China（上海交通大学人工智能学院） ； Shanghai Artificial Intelligence Laboratory, Shanghai, China（上海人工智能实验室） ； University of Science and Technology of China, Hefei, Anhui, China（中国科学技术大学） ； The Chinese University of Hong Kong, Hong Kong, China（香港中文大学） ； Nanjing University, Suzhou, Jiangsu, China（南京大学） ； Peking University, Beijing, China（北京大学） 纠错

专题命中 复杂问题求解 ：reasoning(title,abstract)；分类 cs.CL

AI总结 本文提出ME$^2$原则来表征推理质量，基于有向无环图（DAG）的成对评估方法，并构建TRM-Preference数据集训练Thinking Reward Model（TRM），以优化推理过程。

Comments Code and data are available at https://github.com/Simplified-Reasoning/TRM

Speech-to-Text Translation with Phoneme-Augmented CoT: Enhancing Cross-Lingual Transfer in Low-Resource Scenarios

Gerard I. Gállego, Oriol Pareras, Martí Cortada Garcia, Lucas Takanori, Javier Hernando

机构 * Barcelona Supercomputing CenterSpain（巴塞罗那超级计算中心西班牙） ； Universitat Politècnica de CatalunyaSpain（巴塞罗那理工大学西班牙） 纠错

专题命中 复杂问题求解 ：CoT(title,abstract)；chain-of-thought(abstract)；分类 cs.CL

Comments Accepted at Interspeech 2025