语言大模型 / LLM

Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning

Yutian Liu, Zhengyi Yang, Jiancan Wu, Xiang Wang

机构 * University of Science and Technology of China（科学技术大学） 纠错

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

Hallucinations and Key Information Extraction in Medical Texts: A Comprehensive Assessment of Open-Source Large Language Models

Anindya Bijoy Das, Shibbir Ahmed, Shahnewaz Karim Sakib

机构 * The University of Akron, OH, USA（俄亥俄州阿克伦大学） ； Texas State University, TX, USA（德克萨斯州立大学） ； University of Tennessee at Chattanooga, TN, USA（田纳西大学查塔努加分校） 纠错

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

PathGPT: Reframing Path Recommendation as a Natural Language Generation Task with Retrieval-Augmented Language Models

Steeve Cuthbert Marcelyn, Yucen Gao, Yuzhe Zhang, Xiaofeng Gao

机构 * Shanghai Jiao Tong University（上海交通大学） 纠错

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

RAG-Boost: Retrieval-Augmented Generation Enhanced LLM-based Speech Recognition

Pengcheng Wang, Sheng Li, Takahiro Shinozaki

机构 * School of Engineering（工程学院） 纠错

专题命中 领域大模型 ：LLM(title,abstract)；SLM(abstract,comments)；分类 cs.CL

Comments accepted at Interspeech2025 MLC-SLM Challenge workshop (task I system description)

Students' Perceptions to a Large Language Model's Generated Feedback and Scores of Argumentation Essays

Winter Allen, Anand Shanker, N. Sanjay Rebello

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

Comments 7 pages, 4 figures, Physics Education Research Conference 2025

ELATE: Evolutionary Language model for Automated Time-series Engineering

Andrew Murray, Danial Dervovic, Michael Cashmore

机构 * JP Morgan AI Research（摩根大通人工智能研究） 纠错

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

Comments 27 pages, 4 figures. Comments welcome

PB-IAD: Utilizing multimodal foundation models for semantic industrial anomaly detection in dynamic manufacturing environments

Bernd Hofmann, Albert Scheck, Joerg Franke, Patrick Bruendl

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

Dual-Role Dynamics in Prompting: Elementary Pre-service Teachers' AI Prompting Strategies for Representational Choices

Razan Hamed, Amogh Sirnoorkar, N. Sanjay Rebello

专题命中 领域大模型 ：prompting(title,abstract)

Comments 6 pages, no figures, Physics Education Research Conference 2025

Generalizable Engagement Estimation in Conversation via Domain Prompting and Parallel Attention

Yangche Yu, Yin Chen, Jia Li, Peng Jia, Yu Zhang, Li Dai, Zhenzhen Hu, Meng Wang, Richang Hong

机构 * School of Computer Science and Information Engineering, Hefei University of Technology（计算机科学与信息工程学院，合肥工业大学） 纠错

专题命中 领域大模型 ：prompting(title,abstract)

Comments 1st Place in the Engagement Estimation Task held by MultiMediate 25

PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows

Renan Souza, Amal Gueroudji, Stephen DeWitt, Daniel Rosendo, Tirthankar Ghosal, Robert Ross, Prasanna Balaprakash, Rafael Ferreira da Silva

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

Comments Paper accepted for publication in the Proceedings of the 2025 IEEE 21st International Conference on e-Science. Cite it as: R. Souza, A. Gueroudji, S. DeWitt, D. Rosendo, T. Ghosal, R. Ross, P. Balaprakash, R. F. da Silva, "PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows," IEEE International Conference on e-Science, Chicago, IL, USA, 2025

Retrieval-Augmented Semantic Parsing: Improving Generalization with Lexical Knowledge

Xiao Zhang, Qianru Meng, Johan Bos

机构 * University of Groningen（Groningen 大学） ； Leiden University（莱顿大学） 纠错

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

Comments Accpted by 16th IWCS

Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies

Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop Mayampurath, Dmitriy Dligach, Majid Afshar

机构 * University of Wisconsin-Madison（威斯康星大学麦迪逊分校） ； Boston Children’s Hospital Harvard Medical School（波士顿儿童医院哈佛医学院） ； University of Colorado Anschutz（科罗拉多大学安舒茨分校） ； Loyola University Chicago（芝加哥洛约拉大学） 纠错

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

A Multi-Agent Approach to Neurological Clinical Reasoning

Moran Sorka, Alon Gorenshtein, Dvir Aran, Shahar Shelly

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

Student explanation in middle and secondary mathematics and statistics: A scoping literature review

Huixin Gao, Tanya Evans, Anna Fergusson

专题命中 领域大模型 ：prompting(abstract)

A ubiquitous transfer function links interacting elements to emerging property of complex systems

Lina Yan, Jeffrey Huy Khong, Aleksandar Kostadinov, Jerry Ying Hsi Fuh, Chih-Ming Ho

专题命中 领域大模型 ：SLM(abstract)

Comments We identified significant oversights in the Supplementary Materials: some sections cited in the main text were missing from the supplementary files, while other supplementary sections were not referred to in the main text. These discrepancies may lead to misinterpretation of the work, we believe withdrawal is the most responsible course of action. We sincerely apologize for any inconvenience caused