语言大模型 / LLM

GPT-4 can pass the Korean National Licensing Examination for Korean Medicine Doctors

Dongyeop Jang, Tae-Rim Yun, Choong-Yeol Lee, Young-Kyu Kwon, Chang-Eop Kim

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

Comments 23 pages, 4 figures

Enhancing Medical Specialty Assignment to Patients using NLP Techniques

Chris Solomou

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

A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education

Jacob Doughty, Zipiao Wan, Anishka Bompelli, Jubahed Qayum, Taozhi Wang, Juran Zhang, Yujia Zheng, Aidan Doyle, Pragnya Sridhar, Arav Agarwal, Christopher Bogart, Eric Keylor, Can Kultur, Jaromir Savelka, Majd Sakr

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

Clinical Notes Reveal Physician Fatigue

Chao-Chun Hsu, Ziad Obermeyer, Chenhao Tan

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

Know Your Audience: Do LLMs Adapt to Different Age and Education Levels?

Donya Rooein, Amanda Cercas Curry, Dirk Hovy

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

A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest

Ruohong Zhang, Luyu Gao, Chen Zheng, Zhen Fan, Guokun Lai, Zheng Zhang, Fangzhou Ai, Yiming Yang, Hongxia Yang

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

Comments Work in progress

Analysis of the User Perception of Chatbots in Education Using A Partial Least Squares Structural Equation Modeling Approach

Md Rabiul Hasan, Nahian Ismail Chowdhury, Md Hadisur Rahman, Md Asif Bin Syed, JuHyeong Ryu

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

Comments Chatbot, ChatGPT, Google BARD, Interactive AI, PLS-SEM, Technology Acceptance Model, Technology Readiness Index

Transforming Sentiment Analysis in the Financial Domain with ChatGPT

Georgios Fatouros, John Soldatos, Kalliopi Kouroumali, Georgios Makridis, Dimosthenis Kyriazis

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

Comments 10 pages, 8 figures, Machine Learning with Applications (2023)

EHRTutor: Enhancing Patient Understanding of Discharge Instructions

Zihao Zhang, Zonghai Yao, Huixue Zhou, Feiyun ouyang, Hong Yu

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

Comments To appear in NeurIPS'23 Workshop on Generative AI for Education (GAIED)

Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems

Lidiya Murakhovs'ka, Philippe Laban, Tian Xie, Caiming Xiong, Chien-Sheng Wu

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

Dissecting In-Context Learning of Translations in GPTs

Vikas Raunak, Hany Hassan Awadalla, Arul Menezes

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

Comments EMNLP Findings (+ Minor Updates over Camera-Ready)

Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews

Hye Sun Yun, Iain J. Marshall, Thomas A. Trikalinos, Byron C. Wallace

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

Comments 18 pages, 2 figures, 8 tables. Accepted as an EMNLP 2023 main paper

ChatGPT v Bard v Bing v Claude 2 v Aria v human-expert. How good are AI chatbots at scientific writing?

Edisa Lozić, Benjamin Štular

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

Comments This is Preprint with Graphical abstract and Highlights. Please cite the peer-reviewed open access publication at https://doi.org/10.3390/fi15100336

Context is Environment

Sharut Gupta, Stefanie Jegelka, David Lopez-Paz, Kartik Ahuja

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

Comments 41 Pages, 4 Figures

UQ at #SMM4H 2023: ALEX for Public Health Analysis with Social Media

Yan Jiang, Ruihong Qiu, Yi Zhang, Zi Huang

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

LeanContext: Cost-Efficient Domain-Specific Question Answering Using LLMs

Md Adnan Arefeen, Biplob Debnath, Srimat Chakradhar

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

Comments The paper is under review

FurChat: An Embodied Conversational Agent using LLMs, Combining Open and Closed-Domain Dialogue with Facial Expressions

Neeraj Cherakara, Finny Varghese, Sheena Shabana, Nivan Nelson, Abhiram Karukayil, Rohith Kulothungan, Mohammed Afil Farhan, Birthe Nesset, Meriam Moujahid, Tanvi Dinkar, Verena Rieser, Oliver Lemon

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

Comments 5 pages, 2 figures, Accepted at SIGDIAL 2023 (24th Meeting of the Special Interest Group on Discourse and Dialogue), for the demo video, see https://youtu.be/fwtUl1kl22s

Holy Grail 2.0: From Natural Language to Constraint Models

Dimos Tsouros, Hélène Verhaeghe, Serdar Kadıoğlu, Tias Guns

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

ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The Unknown

Mark Scanlon, Frank Breitinger, Christopher Hargreaves, Jan-Niclas Hilgert, John Sheppard

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

OntoChatGPT Information System: Ontology-Driven Structured Prompts for ChatGPT Meta-Learning

Oleksandr Palagin, Vladislav Kaverinskiy, Anna Litvin, Kyrylo Malakhov

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

Comments 14 pages, 1 figure. Published. International Journal of Computing, 22(2), 170-183. https://doi.org/10.47839/ijc.22.2.3086

Journal ref International Journal of Computing (2023), 22(2), 170-183

Self-Verification Improves Few-Shot Clinical Information Extraction

Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon

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

Journal ref IMLH 2023

PALR: Personalization Aware LLMs for Recommendation

Fan Yang, Zheng Chen, Ziyan Jiang, Eunah Cho, Xiaojiang Huang, Yanbin Lu

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

Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification

Nicolò Tamagnone, Selim Fekih, Ximena Contla, Nayid Orozco, Navid Rekabsaz

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

Comments Accepted at IJCAI 2023

Judgments of research co-created by generative AI: experimental evidence

Paweł Niszczota, Paul Conway

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

Comments 10 pages, 2 tables, 1 figure

Sparks of Artificial General Recommender (AGR): Early Experiments with ChatGPT

Guo Lin, Yongfeng Zhang

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

Unlocking Practical Applications in Legal Domain: Evaluation of GPT for Zero-Shot Semantic Annotation of Legal Texts

Jaromir Savelka

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

Capabilities of GPT-4 on Medical Challenge Problems

Harsha Nori, Nicholas King, Scott Mayer McKinney, Dean Carignan, Eric Horvitz

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

Comments 35 pages, 15 figures; added GPT-4-base model results and discussion

ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports

Katharina Jeblick, Balthasar Schachtner, Jakob Dexl, Andreas Mittermeier, Anna Theresa Stüber, Johanna Topalis, Tobias Weber, Philipp Wesp, Bastian Sabel, Jens Ricke, Michael Ingrisch

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

MOSAIC: Multi-agent Orchestration for Task-Intelligent Scientific Coding

MOSAIC：多智能体协作用于任务智能的科学编码

Siddeshwar Raghavan, Tanwi Mallick

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

AI总结 MOSAIC通过多智能体协作解决复杂科学编码任务，采用自反思和学生-教师模式提升准确性和鲁棒性。

Comments The paper requires a great deal of restructuring to be beneficial to the research community. We also identified some issues with the current experiments and improvements in LLM models which we want our work to reflect

Can LLMs Create Legally Relevant Summaries and Analyses of Videos?

Lyra Hoeben-Kuil, Gijs van Dijck, Jaromir Savelka, Johanna Gunawan, Konrad Kollnig, Marta Kolacz, Mindy Duffourc, Shashank Chakravarthy, Hannes Westermann

机构 * Maastricht Law and Tech Lab, Faculty of Law, Maastricht University, The Netherlands（马斯特里赫特大学法学院与科技实验室，荷兰） ； Brightlands Institute for Smart Society, Maastricht University, The Netherlands（智慧社会Brightlands研究所，马斯特里赫特大学，荷兰） ； Computer Science Department, Carnegie Mellon University, Pittsburg, USA（计算机科学系，卡内基梅隆大学，美国匹兹堡） 纠错

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

Comments Accepted for publication at JURIX 2025 Torino, Italy. This is the preprint version. Code and data available at: https://github.com/maastrichtlawtech/jurix2025_LLM_video_analysis