语言大模型 / LLM

Potential Benefits of Employing Large Language Models in Research in Moral Education and Development

Hyemin Han

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

SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding

Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang

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

Comments Initial version of SeqGPT

FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt

Zhixiao Qi, Yijiong Yu, Meiqi Tu, Junyi Tan, Yongfeng Huang

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

Large Language Models for Granularized Barrett's Esophagus Diagnosis Classification

Jenna Kefeli, Ali Soroush, Courtney J. Diamond, Haley M. Zylberberg, Benjamin May, Julian A. Abrams, Chunhua Weng, Nicholas Tatonetti

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

Large Language Models in Introductory Programming Education: ChatGPT's Performance and Implications for Assessments

Natalie Kiesler, Daniel Schiffner

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

Comments 10 pages, 1 figure

A large language model-assisted education tool to provide feedback on open-ended responses

Jordan K. Matelsky, Felipe Parodi, Tony Liu, Richard D. Lange, Konrad P. Kording

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

TrafficSafetyGPT: Tuning a Pre-trained Large Language Model to a Domain-Specific Expert in Transportation Safety

Ou Zheng, Mohamed Abdel-Aty, Dongdong Wang, Chenzhu Wang, Shengxuan Ding

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

PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records

Viktor Schlegel, Hao Li, Yuping Wu, Anand Subramanian, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Daniel Beck, Xiaojun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, Goran Nenadic

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

Comments 8 pages. ImageClef 2023 MediQA-Sum

ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge

Yunxiang Li, Zihan Li, Kai Zhang, Ruilong Dan, Steve Jiang, You Zhang

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

ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive Evaluation

Guangyu Wang, Guoxing Yang, Zongxin Du, Longjun Fan, Xiaohu Li

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

Large Language Models Need Holistically Thought in Medical Conversational QA

Yixuan Weng, Bin Li, Fei Xia, Minjun Zhu, Bin Sun, Shizhu He, Kang Liu, Jun Zhao

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

Large Language Models in Sport Science & Medicine: Opportunities, Risks and Considerations

Mark Connor, Michael O'Neill

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

Comments 4 Pages, 1 Figure

Emergent autonomous scientific research capabilities of large language models

Daniil A. Boiko, Robert MacKnight, Gabe Gomes

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

Comments Version 1, April 11, 2023. 48 pages

Revolutionizing Single Cell Analysis: The Power of Large Language Models for Cell Type Annotation

Zehua Zeng, Hongwu Du

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

Comments 5 pages, 1 figures

A Bibliometric Review of Large Language Models Research from 2017 to 2023

Lizhou Fan, Lingyao Li, Zihui Ma, Sanggyu Lee, Huizi Yu, Libby Hemphill

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

Comments 36 pages, 9 figures, and 4 tables

Large Language Models are Few-shot Publication Scoopers

Samuel Albanie, Liliane Momeni, João F. Henriques

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

Comments SIGBOVIK 2023

Enhancing Large Language Models with Climate Resources

Mathias Kraus, Julia Anna Bingler, Markus Leippold, Tobias Schimanski, Chiara Colesanti Senni, Dominik Stammbach, Saeid Ashraf Vaghefi, Nicolas Webersinke

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

ChatGPT and a New Academic Reality: Artificial Intelligence-Written Research Papers and the Ethics of the Large Language Models in Scholarly Publishing

Brady Lund, Ting Wang, Nishith Reddy Mannuru, Bing Nie, Somipam Shimray, Ziang Wang

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

Journal ref Journal of the Association for Information Science and Technology (2023)

A Short Survey of Viewing Large Language Models in Legal Aspect

Zhongxiang Sun

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

Comments 8 pages

The (ab)use of Open Source Code to Train Large Language Models

Ali Al-Kaswan, Maliheh Izadi

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

Galactica: A Large Language Model for Science

Ross Taylor, Marcin Kardas, Guillem Cucurull, Thomas Scialom, Anthony Hartshorn, Elvis Saravia, Andrew Poulton, Viktor Kerkez, Robert Stojnic

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

Repairing Bugs in Python Assignments Using Large Language Models

Jialu Zhang, José Cambronero, Sumit Gulwani, Vu Le, Ruzica Piskac, Gustavo Soares, Gust Verbruggen

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

Extracting Zero-shot Common Sense from Large Language Models for Robot 3D Scene Understanding

William Chen, Siyi Hu, Rajat Talak, Luca Carlone

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

Comments 4 pages (excluding references and appendix), 2 figures, 2 tables. Submitted to Robotics: Science and Systems 2022 2nd Workshop on Scaling Robot Learning. Corrected typos and notation

Biomedical and Clinical Language Models for Spanish: On the Benefits of Domain-Specific Pretraining in a Mid-Resource Scenario

Casimiro Pio Carrino, Jordi Armengol-Estapé, Asier Gutiérrez-Fandiño, Joan Llop-Palao, Marc Pàmies, Aitor Gonzalez-Agirre, Marta Villegas

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

Comments 9 pages

Dialogue State Tracking with a Language Model using Schema-Driven Prompting

Chia-Hsuan Lee, Hao Cheng, Mari Ostendorf

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

Comments Accepted to EMNLP 2021

Structured Frequency-Domain Evidence for LLM-Based Time-Series Anomaly Detection

面向基于大语言模型的时间序列异常检测的结构化频域证据

Jungwook Seo, Sangwon Son, Minjeong Kim, Seungmin Han, Seojin Yoo, Sungyong Baik

机构 * Hanyang University（汉阳大学） 纠错

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

AI总结 该研究针对现有基于LLM的时间序列异常检测方法缺乏显式频域证据的问题，提出证据增强的零样本TSAD框架，经多模型实验验证频域证据可提升检测性能。

Molecular LLM Agents: From Architectural Design to Scientific Autonomy

分子大语言模型智能体：从架构设计到科学自主性

Jiatong Li, Wengyu Zhang, Weida Wang, Yuxuan Ren, Wei Liu, Chenyang Mao, Yuqiang Li, Yatao Bian, Changmeng Zheng, Xiaoyong Wei, Qing Li

机构 * The Hong Kong Polytechnic University（香港理工大学） ； Shanghai AI Lab（上海人工智能实验室） ； National University of Singapore（新加坡国立大学） ； Shanghai Jiao Tong University（上海交通大学） 纠错

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

AI总结 该研究提出分子LLM智能体的概念框架，从架构设计和科学自主性阶梯两方面展开，为分子领域LLM智能体的比较、设计评估及部署提供指导。

Comments 25pages

Class Imbalance and Batch Effects in LLM-Based Screening for Systematic Reviews

系统综述LLM筛选中的类别不平衡与批次效应

Gilberto Sussumu Hida, Danilo Monteiro Ribeiro, Clayton Suguio Hida

专题命中 领域大模型 ：LLM(title,title_cn)；分类 cs.CL、cs.AI

AI总结 本研究针对系统综述的LLM筛选场景，发现批次处理对决策行为的影响大于患病率元数据，建议评估批次处理需兼顾成本与决策行为效应。

Comments 12 pages, 4 figures. Accepted at ENIAC 2026 (National Meeting on Artificial and Computational Intelligence), part of BRACIS 2026

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization

MIDAS：多大语言模型迭代数据自适应摘要生成

Karen Lee, Dhanashree Balaram, Seojun Shon, Umair Rasheed

机构 * Volkswagen Group Innovation（大众集团创新公司） 纠错

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

AI总结 针对现有自动提示词优化方法无法适配多样摘要需求的问题，提出多大语言模型迭代数据自适应摘要生成框架MIDAS，在企业客户工单摘要任务中优于CriSPO等方法，还具备跨模型与跨领域泛化能力。

Comments Accepted at the 20th International Conference on Document Analysis and Recognition (ICDAR 2026). 17 pages, 2 figures

A Human-in-the-Loop Corpus for LLM-Based Simplification of Scientific Summaries

用于基于大语言模型的科学摘要简化的人工参与语料库

Kyuri Im, Michael Färber

机构 * ScaDS.AI, Technische Universität Dresden（ScaDS.AI，德累斯顿工业大学） 纠错

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

AI总结 研究基于大语言模型的科学文本简化，提出人工参与工作流程，先以GPT-4o-mini生成基线简化，再经不同阶段读者与专家反馈编辑，发布语料库及评估结果，支持跨学科科学交流简化系统相关工作。

Comments Accepted at FGWM@KI2026