语言大模型 / LLM - arXivDaily 专题

2401.11923 2024-01-24 cs.HC 88%

VirtuWander: Enhancing Multi-modal Interaction for Virtual Tour Guidance through Large Language Models

Zhan Wang, Lin-Ping Yuan, Liangwei Wang, Bingchuan Jiang, Wei Zeng

专题命中领域大模型：large language model(title,abstract)；language model(title,abstract)

2308.08434 2024-01-02 cs.IR 88%

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yancheng Luo, Chong Chen, Fuli Feng, Qi Tian

专题命中领域大模型：large language model(title,abstract)；language model(title,abstract)

Comments 17 pages

2312.17485 2024-01-01 cs.SE 88%

The Right Prompts for the Job: Repair Code-Review Defects with Large Language Model

Zelin Zhao, Zhaogui Xu, Jialong Zhu, Peng Di, Yuan Yao, Xiaoxing Ma

专题命中领域大模型：large language model(title,abstract)；language model(title,abstract)

Comments 10 pages with 1 page for references

2312.14969 2023-12-27 cs.HC 88%

Challenges and Opportunities of Moderating Usage of Large Language Models in Education

Lars Krupp, Steffen Steinert, Maximilian Kiefer-Emmanouilidis, Karina E. Avila, Paul Lukowicz, Jochen Kuhn, Stefan Küchemann, Jakob Karolus

专题命中领域大模型：large language model(title,abstract)；language model(title,abstract)

Comments paper consists of 13 pages 6 figures; supplementary material 15 pages

2312.06241 2023-12-12 q-bio.QM 88%

ProtoCode: Leveraging Large Language Models for Automated Generation of Machine-Readable Protocols from Scientific Publications

Shuo Jiang, Daniel Evans-Yamamoto, Dennis Bersenev, Sucheendra K. Palaniappan, Ayako Yachie-Kinoshita

专题命中领域大模型：large language model(title,abstract)；language model(title,abstract)

Comments 12 pages, 3 figures

2312.03494 2023-12-07 cs.IR 88%

Boosting legal case retrieval by query content selection with large language models

Youchao Zhou, Heyan Huang, Zhijing Wu

专题命中领域大模型：large language model(title,abstract)；language model(title,abstract)

Comments This work was accepted as 23-SIGIR-AP main conference paper

2312.01291 2023-12-05 cs.CE cond-mat.mtrl-sci physics.acc-ph physics.app-ph physics.ins-det 88%

Opportunities for Retrieval and Tool Augmented Large Language Models in Scientific Facilities

Michael H. Prince, Henry Chan, Aikaterini Vriza, Tao Zhou, Varuni K. Sastry, Matthew T. Dearing, Ross J. Harder, Rama K. Vasudevan, Mathew J. Cherukara

专题命中领域大模型：large language model(title,abstract)；language model(title,abstract)

2311.06207 2023-11-13 cs.CY 88%

Vox Populi, Vox ChatGPT: Large Language Models, Education and Democracy

Niina Zuber, Jan Gogoll

专题命中领域大模型：large language model(title,abstract)；language model(title,abstract)

2302.12343 2023-10-23 cs.CL cs.AI cs.LG 88%

CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models

Denis Jered McInerney, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace

专题命中领域大模型：large language model(title)；language model(title)；LLM(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments To be published at EMNLP Findings 2023

2307.16696 2023-08-02 cs.SE 88%

Large Language Models for Education: Grading Open-Ended Questions Using ChatGPT

Gustavo Pinto, Isadora Cardoso-Pereira, Danilo Monteiro Ribeiro, Danilo Lucena, Alberto de Souza, Kiev Gama

专题命中领域大模型：large language model(title,abstract)；language model(title,abstract)

Comments 10 pages, 2 figures

Journal ref SBES EDU Track, 2023

2308.00189 2023-08-02 cs.LG cs.AI cs.CL 88%

Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?

Ari Holtzman, Peter West, Luke Zettlemoyer

专题命中领域大模型：language model(title,abstract)；large language model(title)；分类 cs.CL、cs.AI、cs.LG

Comments 15 pages, 7 figures

2208.10264 2023-07-11 cs.CL cs.AI cs.LG 88%

Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Gati Aher, Rosa I. Arriaga, Adam Tauman Kalai

专题命中领域大模型：language model(title,abstract)；large language model(title)；分类 cs.CL、cs.AI、cs.LG

Comments Accepted for oral presentation at International Conference on Machine Learning (ICML) 2023

2306.09339 2023-06-16 cs.DB 88%

From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management

Immanuel Trummer

专题命中领域大模型：large language model(title,abstract)；language model(title,abstract)

Journal ref PVLDB 2022, Volume 15, Issue 12, Pages 3770-3773

2305.11418 2023-05-22 cs.HC 88%

Towards Human-AI Collaborative Urban Science Research Enabled by Pre-trained Large Language Models

Jiayi Fu, Haoying Han, Xing Su, Chao Fan

专题命中领域大模型：large language model(title,abstract)；language model(title,abstract)

2304.02195 2023-04-06 cs.SE 88%

Explainable Automated Debugging via Large Language Model-driven Scientific Debugging

Sungmin Kang, Bei Chen, Shin Yoo, Jian-Guang Lou

专题命中领域大模型：large language model(title,abstract)；language model(title,abstract)

2303.12429 2023-03-23 cs.CR 88%

Man vs the machine: The Struggle for Effective Text Anonymisation in the Age of Large Language Models

Constantinos Patsakis, Nikolaos Lykousas

专题命中领域大模型：large language model(title,abstract)；language model(title,abstract)

2212.14834 2023-03-08 cs.SE 88%

Large Language Models are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models

Yinlin Deng, Chunqiu Steven Xia, Haoran Peng, Chenyuan Yang, Lingming Zhang

专题命中领域大模型：large language model(title,abstract)；language model(title,abstract)

Comments Accepted at ISSTA 2023

2208.09727 2023-02-28 cs.CR 88%

Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants

Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Siddharth Garg, Brendan Dolan-Gavitt

专题命中领域大模型：large language model(title,abstract)；language model(title,abstract)

Comments Accepted for publication in USENIX'23. For associated dataset see https://doi.org/10.5281/zenodo.7187359. 18 pages, 12 figures. G. Sandoval and H. Pearce contributed equally to this work

2111.04920 2023-02-21 cs.HC 88%

PopBlends: Strategies for Conceptual Blending with Large Language Models

Sitong Wang, Savvas Petridis, Taeahn Kwon, Xiaojuan Ma, Lydia B. Chilton

专题命中领域大模型：large language model(title,abstract)；language model(title,abstract)

2212.05113 2022-12-13 cs.CY 88%

Automatically Generating CS Learning Materials with Large Language Models

Stephen MacNeil, Andrew Tran, Juho Leinonen, Paul Denny, Joanne Kim, Arto Hellas, Seth Bernstein, Sami Sarsa

专题命中领域大模型：large language model(title,abstract)；language model(title,abstract)

Comments In Proceedings of the 54th ACM Technical Symposium on Computing Science Education

2410.20600 2025-10-10 cs.AI cs.HC cs.LG cs.MA 87%

Multi-Turn Human-LLM Interaction Through the Lens of a Two-Way Intelligibility Protocol

Harshvardhan Mestha, Karan Bania, Shreyas V Sathyanarayana, Sidong Liu, Ashwin Srinivasan

机构 * Dept. of Electrical and Electronics Engineering（电子工程系）； BITS Pilani, K.K. Birla Goa Campus（比斯汉学院，戈阿校园）； Machine Learning Department（机器学习系）； Carnegie Mellon University（卡内基梅隆大学）； Centre for Health Informatics（健康信息学中心）； Macquarie University, Sydney（麦考瑞大学，悉尼）； Dept. of Computer Science & Information Systems（计算机科学与信息系统系）

专题命中领域大模型：LLM(title,abstract)；large language model(abstract,comments)；language model(abstract,comments)；分类 cs.AI、cs.LG

Comments Multi-Turn Interactions in Large Language Models (MTI-LLM) Workshop at NeurIPS 2025

2509.10818 2026-08-19 cs.AI cs.HC 版本更新 87%

LLM Enhancement with Domain Expert Mental Model to Reduce LLM Hallucination with Causal Prompt Engineering

结合领域专家心智模型的大语言模型增强：通过因果提示工程减少大语言模型幻觉

Boris Kovalerchuk, Brent D. Fegley

专题命中领域大模型：LLM(title,summary_cn)；分类 cs.AI

AI总结本文提出结合专家心智模型（EMM）的因果提示工程框架，通过形式化相关前置流程构建EMM，减少LLM幻觉，在三类任务中验证了方法有效性。

Comments 42 pages,4 figures, 4 tables

2608.16407 2026-08-18 cs.IR cs.LG 新提交 87%

POI Recommendation with LLM-Augmented Multi-Graph Learning and Contrastive Alignment

结合大语言模型增强多图学习与对比对齐的兴趣点推荐

Burak Tamer, Wolfram Höpken, Zehui Wang

专题命中领域大模型：LLM(title,summary_cn)；分类 cs.LG

AI总结该研究针对POI推荐的物品冷启动问题，提出LLM-MGCL模型，结合语义、地理与交互多图及对比学习，在Yelp数据集上显著优于基线模型，缓解了冷启动问题。

2606.02776 2026-08-14 cs.CL 版本更新 87%

Topics as Proxies for Sociodemographics: How Conversational Context Affects LLM Answers

话题作为社会人口统计的代理：对话上下文如何影响大语言模型的回答

Vera Neplenbroek, Gabriele Sarti, Arianna Bisazza, Raquel Fernández

机构 * Institute for Logic, Language and Computation, University of Amsterdam（逻辑、语言与计算研究所，阿姆斯特丹大学）； Khoury College of Computer Sciences, Northeastern University（计算机科学学院，东北大学）； Center for Language and Cognition, University of Groningen（语言与认知中心，格罗宁根大学）

专题命中领域大模型：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL

AI总结研究大语言模型在高风险场景中对话上下文对回答差异的影响，发现话题是社会人口统计差异的主要驱动因素，且影响方式不可预测。

2608.09818 2026-08-11 cs.CV cs.AI 新提交 87%

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation

MedPixel：用于医学推理与分割的统一像素-语言模型

Haoyu Yang, Meixing Shi, Zengjie Chen, Haoran Sun, Haitao Leng, Xiaoming Shi, Yuxiang Cai, Yankai Jiang

专题命中领域大模型：language model(title,abstract)；LLM(abstract,abstract_cn)；preference optimization(abstract)；分类 cs.AI

AI总结该研究提出统一医学像素-语言模型MedPixel，引入44万样本的MedPLG-440K数据集，通过联合多任务微调与像素级偏好优化训练，支持多类医学任务，性能优异且具备零样本迁移与鲁棒性。

2607.27944 2026-07-31 cs.IR cs.AI 新提交 87%

Interpretable Representation via LLM-Driven Generative Disentanglement for Local-Life Service Recommendation

面向本地生活服务推荐的、基于大语言模型驱动的生成式解缠的可解释表示

Long Zhang, Hao Jiang, Sheng Yu, Fei Pan, Peng Jiang, Kun Gai

专题命中领域大模型：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI

AI总结针对现有语义ID生成框架的语义纠缠与黑箱问题，提出LGRID模型，通过生成式解缠范式提升本地生活服务推荐的性能与可解释性，在公开数据集上取得显著效果。

2607.24793 2026-07-29 cs.IR cs.CL 新提交 87%

Retrieval, not hallucinations, will be the limiting factor for LLM-based clinical AI tools

检索而非幻觉将成为基于大语言模型的临床人工智能工具的限制因素

Kirk Roberts, Steven Bedrick, Kurt Miller, William R. Hersh, Hongfang Liu

专题命中领域大模型：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL

AI总结探讨临床人工智能中基于大语言模型的错误，将讨论重点从精度错误转向召回错误，特别是患者级数据检索方面，概述错误类型、缓解策略及研究方向，提供检索评估概述。

Comments Perspective piece

2607.17653 2026-07-21 cs.CV cs.LG cs.MM 新提交 87%

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation

LFM：利用基础模型进行无源通用域适应

Jing Li, Pan Liu, Meng Zhao, Wanli Xue, Yanhong Yang, Xu Cheng, Fan Shi, Jianhua Zhang, Qinghua Hu, Shengyong Chen

机构 * School of Computer Science and Engineering, Tianjin University of Technology（天津理工大学计算机科学与工程学院）； Engineering Research Center of Learning-Based Intelligent System, Ministry of Education of the People’s Republic of China, Tianjin University of Technology（中华人民共和国教育部基于学习的智能系统工程研究中心，天津理工大学）； School of Artificial Intelligence, Tianjin University（天津大学人工智能学院）； Engineering Research Center of City Intelligence and Digital Governance, Ministry of Education of the People’s Republic of China, Tianjin University（中华人民共和国教育部城市智能与数字治理工程研究中心，天津大学）

专题命中领域大模型：foundation model(title,abstract)；large language model(abstract)；language model(abstract)；prompting(abstract)

AI总结研究在无源数据时将预训练源模型适应到目标域的问题，提出LFM框架，利用视觉语言模型计算相似度确定标签转移类型、识别未知样本，通过共识策略精炼伪标签训练目标模型，实验验证了该框架的有效性和优越性。

Comments Accepted by IEEE Transactions on Multimedia (2026)

2607.14659 2026-07-17 cs.SE cs.AI 新提交 87%

LLM-Driven Approach to Modeling Tool Interoperability in Automotive Domain

汽车领域中基于大语言模型驱动的建模工具互操作性方法

Nenad Petrovic, Jiajie Zhang, Vahid Zolfaghari, Alois Knoll

机构 * European Chips Joint Undertaking（欧洲芯片联合体）； Federal Ministry of Research, Technology and Space of Germany（德国联邦研究、科技与航天部）

专题命中领域大模型：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI

AI总结研究汽车领域异构建模工具互操作性难题，提出基于大语言模型驱动的方法，涉及模型实例到目标元模型的映射及元模型合并，经案例验证该方法可行，能减少手动转换工作量并生成有效目标模型促进跨工具互操作。

2607.10871 2026-07-14 cs.AI cs.HC 新提交 87%

Toward Contemplative LLM: A Modular Framework for Evaluating and Enhancing LLM Alignment in Mental Health

迈向沉思型大语言模型：心理健康领域中评估与增强大语言模型对齐性的模块化框架

Asher Sprigler, Yang-Yang Feng, Iftach Amir, Jonathan E. Bogard, Todd S Braver, Yi Ding, David Kinney, Yixue Zhao

机构 * Purdue University（普渡大学）； Washington University in St. Louis（圣路易斯华盛顿大学）； Yixue Research Institute（易学研究所）

专题命中领域大模型：LLM(title,abstract)；large language model(abstract)；language model(abstract)；prompting(abstract)

AI总结针对新模型等涌现使评估沉思原则增强大语言模型对齐性具挑战的问题，提出模块化可扩展评估框架，能集成新元素并重现先进结果，支持交叉评估，其提示模块便于纳入伦理视角，为跨学科研究及有益人机生态系统奠定基础。

Comments Accepted as an oral presentation at HARMONY 2026 (Human-centered AI Research for Mental Health, an Open Networking Symposium), co-located with IEEE/ACM Conference on Connected Health: Applications, Systems, and Engineering Technologies (CHASE 2026) held in Pittsburgh, August 6, 2026

1. 领域大模型 12565 篇

VirtuWander: Enhancing Multi-modal Interaction for Virtual Tour Guidance through Large Language Models

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems

The Right Prompts for the Job: Repair Code-Review Defects with Large Language Model

Challenges and Opportunities of Moderating Usage of Large Language Models in Education

ProtoCode: Leveraging Large Language Models for Automated Generation of Machine-Readable Protocols from Scientific Publications

Boosting legal case retrieval by query content selection with large language models

Opportunities for Retrieval and Tool Augmented Large Language Models in Scientific Facilities

Vox Populi, Vox ChatGPT: Large Language Models, Education and Democracy

CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models

Large Language Models for Education: Grading Open-Ended Questions Using ChatGPT

Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?

Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management

Towards Human-AI Collaborative Urban Science Research Enabled by Pre-trained Large Language Models

Explainable Automated Debugging via Large Language Model-driven Scientific Debugging

Man vs the machine: The Struggle for Effective Text Anonymisation in the Age of Large Language Models

Large Language Models are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models

Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants

PopBlends: Strategies for Conceptual Blending with Large Language Models

Automatically Generating CS Learning Materials with Large Language Models

Multi-Turn Human-LLM Interaction Through the Lens of a Two-Way Intelligibility Protocol

LLM Enhancement with Domain Expert Mental Model to Reduce LLM Hallucination with Causal Prompt Engineering

POI Recommendation with LLM-Augmented Multi-Graph Learning and Contrastive Alignment

Topics as Proxies for Sociodemographics: How Conversational Context Affects LLM Answers

MedPixel: A Unified Pixel-Language Model for Medical Reasoning and Segmentation

Interpretable Representation via LLM-Driven Generative Disentanglement for Local-Life Service Recommendation

Retrieval, not hallucinations, will be the limiting factor for LLM-based clinical AI tools

LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation

LLM-Driven Approach to Modeling Tool Interoperability in Automotive Domain

Toward Contemplative LLM: A Modular Framework for Evaluating and Enhancing LLM Alignment in Mental Health