语言大模型 / LLM

A Few-Shot Approach for Relation Extraction Domain Adaptation using Large Language Models

Vanni Zavarella, Juan Carlos Gamero-Salinas, Sergio Consoli

机构 * Department of Mathematics and Computer Science, University of Cagliari, Cagliari, Italy（数学与计算机科学系，卡利亚里大学，卡利亚里，意大利） ； Institute of Data Science and Artificial Intelligence (DATAI), Universidad de Navarra, Pamplona, Spain（数据科学与人工智能研究所（DATAI），纳瓦拉大学，潘普隆，西班牙） ； European Commission, Joint Research Centre (DG JRC), Ispra (VA), Italy（欧洲委员会，联合研究中心（DG JRC），伊斯普拉（瓦拉），意大利） 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

Journal ref CEUR Workshop Proceedings, Vol. 3894 (2024), Workshop at KDD 2024 on Deep Learning and Large Language Models for Knowledge Graphs

Agent-Based Simulation of a Financial Market with Large Language Models

Ryuji Hashimoto, Takehiro Takayanagi, Masahiro Suzuki, Kiyoshi Izumi

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

Large Language Models in Operations Research: Methods, Applications, and Challenges

Yang Wang, Kai Li

机构 * University of Chinese Academy of Sciences（中国科学院大学） ； Institute of Automation Chinese Academy of Sciences（中国科学院自动化研究所） ； School of Artificial Intelligence University of Chinese Academy of Sciences（中国科学院大学人工智能学院） 纠错

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

DefenderBench: A Toolkit for Evaluating Language Agents in Cybersecurity Environments

Chiyu Zhang, Marc-Alexandre Cote, Michael Albada, Anush Sankaran, Jack W. Stokes, Tong Wang, Amir Abdi, William Blum, Muhammad Abdul-Mageed

机构 * Microsoft（微软公司） ； The University of British Columbia（不列颠哥伦比亚大学） 纠错

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

Comments Accepted by NeurIPS 2025 Workshop Scaling Environments for Agents (SEA)

Understanding the Modality Gap: An Empirical Study on the Speech-Text Alignment Mechanism of Large Speech Language Models

Bajian Xiang, Shuaijiang Zhao, Tingwei Guo, Wei Zou

机构 * Beike Inc.（贝克公司） ； Bairong Inc.（柏睿公司） 纠错

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

Comments Accepted to EMNLP 2025 (Main Conference)

General Demographic Foundation Models for Enhancing Predictive Performance Across Diseases and Populations

Li-Chin Chen, Ji-Tian Sheu, Yuh-Jue Chuang

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

LearnLens: LLM-Enabled Personalised, Curriculum-Grounded Feedback with Educators in the Loop

Runcong Zhao, Artem Bobrov, Jiazheng Li, Cesare Aloisi, Yulan He

机构 * King’s College London（伦敦国王学院） ； AQA 纠错

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

Comments EMNLP 2025

Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design

Junhua Liu, Fanfan Lin, Xinze Li, Kwan Hui Lim, Shuai Zhao

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

Comments Accepted to AAAI 2026 Innovative Applications of AI

CGBench: Benchmarking Language Model Scientific Reasoning for Clinical Genetics Research

Owen Queen, Harrison G. Zhang, James Zou

机构 * Stanford University（斯坦福大学） 纠错

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

Comments Accepted at NeurIPS 2025

AdaptJobRec: Enhancing Conversational Career Recommendation through an LLM-Powered Agentic System

Qixin Wang, Dawei Wang, Kun Chen, Yaowei Hu, Puneet Girdhar, Ruoteng Wang, Aadesh Gupta, Chaitanya Devella, Wenlai Guo, Shangwen Huang, Bachir Aoun, Greg Hayworth, Han Li, Xintao Wu

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

MooseAgent: A LLM Based Multi-agent Framework for Automating Moose Simulation

Tao Zhang, Zhenhai Liu, Yong Xin, Yongjun Jiao

机构 * State Key Laboratory of Advanced Nuclear Energy Technology（先进核能技术国家重点实验室） ； Nuclear Power Institute of China（中国核能研究院） 纠错

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

Comments 11 pages, 3 Figs

Tracing Multilingual Knowledge Acquisition Dynamics in Domain Adaptation: A Case Study of English-Japanese Biomedical Adaptation

Xin Zhao, Naoki Yoshinaga, Yuma Tsuta, Akiko Aizawa

机构 * The University of Tokyo（东京大学） ； National Institute of Informatics（日本信息机构） ； Institute of Industrial Science, The University of Tokyo（东京大学工业科学研究所） 纠错

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

Comments 22 Pages, Submitted to ARR 2025 Oct

Leveraging Language Semantics for Collaborative Filtering with TextGCN and TextGCN-MLP: Zero-Shot vs In-Domain Performance

Andrei Chernov, Haroon Wahab, Oleg Novitskij

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

Using Medical Algorithms for Task-Oriented Dialogue in LLM-Based Medical Interviews

Rui Reis, Pedro Rangel Henriques, João Ferreira-Coimbra, Eva Oliveira, Nuno F. Rodrigues

机构 * University of Minho（米尼霍大学） ； University Hospital Center of São João（圣约翰大学医院中心） ； Ai - School of Technology, IPCA（2Ai-技术学校，IPCA） 纠错

专题命中 领域大模型 ：LLM(title)；分类 cs.AI

Generate Logical Equivalence Questions

Xinyu Wang, Haoming Yu, Yicheng Yang, Zhiyuan Li

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

mAIstro: an open-source multi-agentic system for automated end-to-end development of radiomics and deep learning models for medical imaging

Eleftherios Tzanis, Michail E. Klontzas

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

Journal ref Eur. J. Radiol. Artif. Intell. 2025; 4, 100044

SpineBench: Benchmarking Multimodal LLMs for Spinal Pathology Analysis

Chenghanyu Zhang, Zekun Li, Peipei Li, Xing Cui, Shuhan Xia, Weixiang Yan, Yiqiao Zhang, Qianyu Zhuang

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） ； University of California, Santa Barbara（加州大学圣巴巴拉分校） ； Peking Union Medical College Hospital（北京佑安医学大学医院） 纠错

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

Comments Proceedings of the 33rd ACM International Conference on Multimedia,ACMMM 2025 Dataset Track

Mind the (Data) Gap: Evaluating Vision Systems in Small Data Applications

Samuel Stevens, S M Rayeed, Jenna Kline

机构 * The Ohio State University（俄亥俄州立大学） ； Rensselaer Polytechnic Institute（拉特格斯理工学院） 纠错

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

Comments 5 pages (main text), 3 figures. Accepted at the Imageomics Workshop at NeurIPS 2025

Benefits and Limitations of Using GenAI for Political Education and Municipal Elections

Raphael Fischer, Youssef Abdelrahim, Katharina Poitz

专题命中 领域大模型 ：language model(abstract)