语言大模型 / LLM

CodeGraph: Enhancing Graph Reasoning of LLMs with Code

Qiaolong Cai, Zhaowei Wang, Shizhe Diao, James Kwok, Yangqiu Song

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments In Progress

QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs

Weijia Zhang, Vaishali Pal, Jia-Hong Huang, Evangelos Kanoulas, Maarten de Rijke

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments Accepted by the 27th European Conference on Artificial Intelligence (ECAI-2024)

Search-Based LLMs for Code Optimization

Shuzheng Gao, Cuiyun Gao, Wenchao Gu, Michael Lyu

专题命中 推理与问题求解 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.CL、cs.AI

Comments Accepted by 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE'25)

DreamFactory: Pioneering Multi-Scene Long Video Generation with a Multi-Agent Framework

Zhifei Xie, Daniel Tang, Dingwei Tan, Jacques Klein, Tegawend F. Bissyand, Saad Ezzini

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments 13 pages, 8 figures

Cause-Aware Empathetic Response Generation via Chain-of-Thought Fine-Tuning

Xinhao Chen, Chong Yang, Man Lan, Li Cai, Yang Chen, Tu Hu, Xinlin Zhuang, Aimin Zhou

专题命中 推理与问题求解 ：large language model(abstract)；language model(abstract)；instruction tuning(abstract)；分类 cs.CL、cs.AI

Agentic Skill Discovery

Xufeng Zhao, Cornelius Weber, Stefan Wermter

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI、cs.LG

Comments Webpage see https://agentic-skill-discovery.github.io/

Towards a Generative Approach for Emotion Detection and Reasoning

Ankita Bhaumik, Tomek Strzalkowski

专题命中 推理与问题求解 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.CL、cs.AI

Evaluating and Enhancing LLMs Agent based on Theory of Mind in Guandan: A Multi-Player Cooperative Game under Imperfect Information

Yauwai Yim, Chunkit Chan, Tianyu Shi, Zheye Deng, Wei Fan, Tianshi Zheng, Yangqiu Song

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Misinforming LLMs: vulnerabilities, challenges and opportunities

Bo Zhou, Daniel Geißler, Paul Lukowicz

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Robust Claim Verification Through Fact Detection

Nazanin Jafari, James Allan

专题命中 推理与问题求解 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.CL、cs.AI

Distilling System 2 into System 1

Ping Yu, Jing Xu, Jason Weston, Ilia Kulikov

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems

Bin Lei, Yi Zhang, Shan Zuo, Ali Payani, Caiwen Ding

专题命中 推理与问题求解 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.CL、cs.AI

Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs

Andries Smit, Paul Duckworth, Nathan Grinsztajn, Thomas D. Barrett, Arnu Pretorius

专题命中 推理与问题求解 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.CL、cs.AI

Comments 2 pages, 13 figures

CHOPS: CHat with custOmer Profile Systems for Customer Service with LLMs

Jingzhe Shi, Jialuo Li, Qinwei Ma, Zaiwen Yang, Huan Ma, Lei Li

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments Accepted by COLM 2024

Sibyl: Simple yet Effective Agent Framework for Complex Real-world Reasoning

Yulong Wang, Tianhao Shen, Lifeng Liu, Jian Xie

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments Our code is available at https://github.com/Ag2S1/Sibyl-System

Making New Connections: LLMs as Puzzle Generators for The New York Times' Connections Word Game

Tim Merino, Sam Earle, Ryan Sudhakaran, Shyam Sudhakaran, Julian Togelius

专题命中 推理与问题求解 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.CL、cs.AI

Geode: A Zero-shot Geospatial Question-Answering Agent with Explicit Reasoning and Precise Spatio-Temporal Retrieval

Devashish Vikas Gupta, Azeez Syed Ali Ishaqui, Divya Kiran Kadiyala

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

When is the consistent prediction likely to be a correct prediction?

Alex Nguyen, Dheeraj Mekala, Chengyu Dong, Jingbo Shang

专题命中 推理与问题求解 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.CL、cs.AI

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 推理与问题求解 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.CL、cs.AI

Comments 10 pages, 5 figures

Improving Self Consistency in LLMs through Probabilistic Tokenization

Ashutosh Sathe, Divyanshu Aggarwal, Sunayana Sitaram

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.LG

Comments ICML 2024 Workshop on LLMs and Cognition

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments

Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments Accepted by ACL 2024 Findings. 21 pages, 7 figures, 17 tables

Can GPT-4 Help Detect Quit Vaping Intentions? An Exploration of Automatic Data Annotation Approach

Sai Krishna Revanth Vuruma, Dezhi Wu, Saborny Sen Gupta, Lucas Aust, Valerie Lookingbill, Wyatt Bellamy, Yang Ren, Erin Kasson, Li-Shiun Chen, Patricia Cavazos-Rehg, Dian Hu, Ming Huang

专题命中 推理与问题求解 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.CL、cs.AI

Comments Accepted for the AI Applications in Public Health and Social Services workshop at the 22nd International Conference on Artificial Intelligence in Medicine (AIME 2024)

BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering

Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, Kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments Accepted to ACL 2024

Empowering Multi-step Reasoning across Languages via Tree-of-Thoughts

Leonardo Ranaldi, Giulia Pucci, Federico Ranaldi, Elena Sofia Ruzzetti, Fabio Massimo Zanzotto

专题命中 推理与问题求解 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.CL、cs.AI

Comments Findings of the Association for Computational Linguistics: NAACL 2024

Journal ref 2024.findings-naacl.78

Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication

Weize Chen, Chenfei Yuan, Jiarui Yuan, Yusheng Su, Chen Qian, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments Code release at https://github.com/thunlp/AutoForm

On the Empirical Complexity of Reasoning and Planning in LLMs

Liwei Kang, Zirui Zhao, David Hsu, Wee Sun Lee

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI、cs.LG

Eliciting Better Multilingual Structured Reasoning from LLMs through Code

Bryan Li, Tamer Alkhouli, Daniele Bonadiman, Nikolaos Pappas, Saab Mansour

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs

Junjie Wang, Dan Yang, Binbin Hu, Yue Shen, Wen Zhang, Jinjie Gu

专题命中 推理与问题求解 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.CL、cs.AI

Comments Accepted by KDD 2024

Do LLMs Exhibit Human-Like Reasoning? Evaluating Theory of Mind in LLMs for Open-Ended Responses

Maryam Amirizaniani, Elias Martin, Maryna Sivachenko, Afra Mashhadi, Chirag Shah

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data

Xiao Liu, Zirui Wu, Xueqing Wu, Pan Lu, Kai-Wei Chang, Yansong Feng

专题命中 推理与问题求解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments Findings of ACL 2024. Project website: https://xxxiaol.github.io/QRData/