语言大模型 / LLM

MACD: Multi-Agent Clinical Diagnosis with Self-Learned Knowledge for LLM

MACD: 基于自学习知识的多智能体临床诊断

Wenliang Li, Rui Yan, Xu Zhang, Li Chen, Hongji Zhu, Jing Zhao, Junjun Li, Mengru Li, Wei Cao, Zihang Jiang, Wei Wei, Kun Zhang, Shaohua Kevin Zhou

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

AI总结 MACD通过多智能体框架实现LLM自学习临床知识，提升诊断准确率，与医生单独诊断相比表现更优，展示人机协作的协同潜力。

SimuAgent: An LLM-Based Simulink Modeling Assistant Enhanced with Reinforcement Learning

SimuAgent: 一种基于LLM的Simulink建模助手，结合强化学习增强

Yanchang Liang, Xiaowei Zhao

机构 * School of Engineering, University of Warwick（战争学院） ； Intelligent Control and Smart Energy (ICSE) Research Group（智能控制与智能能源研究组） 纠错

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

AI总结 SimuAgent结合强化学习和LLM，提升Simulink建模效率与准确性，实现快速收敛和高鲁棒性。

MPM-LLM4DSE: Reaching the Pareto Frontier in HLS with Multimodal Learning and LLM-Driven Exploration

MPM-LLM4DSE: 在HLS中通过多模态学习和LLM驱动探索达到帕累托前沿

Lei Xu, Shanshan Wang, Chenglong Xiao

机构 * Department of Computer Science, Shantou University, China（计算机科学系，汕头大学，中国） 纠错

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

AI总结 本文提出 MPM-LLM4DSE 框架，结合多模态学习与大语言模型驱动探索，提升 HLS 设计空间探索的性能和效率。

CPGPrompt: Translating Clinical Guidelines into LLM-Executable Decision Support

CPGPrompt：将临床指南转化为LLM可执行的决策支持

Ruiqi Deng, Geoffrey Martin, Tony Wang, Gongbo Zhang, Yi Liu, Chunhua Weng, Yanshan Wang, Justin F Rousseau, Yifan Peng

机构 * Information Science (Health Tech), Cornell Tech, New York, NY, USA（信息科学（健康科技），康奈尔科技，纽约，纽约州） ； Systems Engineering, Cornell University, Ithaca, NY, USA（系统工程，康奈尔大学，伊萨卡，纽约州） ； Population Health Sciences, Weill Cornell Medicine, New York, NY, USA（人口健康科学，韦尔医学院，纽约，纽约州） ； Computer and Information Science, Cornell University, Ithaca, NY, USA（计算机与信息科学，康奈尔大学，伊萨卡，纽约州） ； Department of Biomedical Informatics, Columbia University, New York, NY, USA（生物医学信息学系，哥伦比亚大学，纽约，纽约州） ； Department of Medicine, Weill Cornell Medicine, New York, NY, USA（医学系，韦尔医学院，纽约，纽约州） ； Department of Health Information Management, University of Pittsburgh, Pittsburgh, PA, USA（健康信息管理系，匹兹堡大学，匹兹堡，宾夕法尼亚州） ； Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA（临床与转化科学研究所，匹兹堡大学，匹兹堡，宾夕法尼亚州） ； Department of Neurology, UT Southwestern Medical Center, Dallas, TX, USA（神经病学系，德克萨斯西南医学中心，达拉斯，德克萨斯州） ； Peter O’Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX, USA（彼得·奥·donnell Jr.脑研究所，德克萨斯西南医学中心，达拉斯，德克萨斯州） ； Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, USA（临床信息学中心，德克萨斯西南医学中心，达拉斯，美国） ； Institute of Artificial Intelligence for Digital Health, Weill Cornell Medicine, New York, NY USA（数字健康人工智能研究所，韦尔医学院，纽约，纽约州） 纠错

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

AI总结 CPGPrompt通过将临床指南转化为LLM可执行的结构化决策树，实现对患者病例的高效评估，提升了专科转诊和路径分类的准确性。

LLM-Enhanced Reranking for Complementary Product Recommendation

基于大语言模型的互补产品推荐增强重排序

Zekun Xu, Yudi Zhang

机构 * North Carolina State University（北卡罗来纳州立大学） ； Iowa State University（爱荷华州立大学） 纠错

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

AI总结 本文提出利用大语言模型增强互补产品推荐的重排序，通过直接应用LLM提示策略提升推荐准确性和多样性。

One Request, Multiple Experts: LLM Orchestrates Domain Specific Models via Adaptive Task Routing

Xu Yang, Chenhui Lin, Haotian Liu, Qi Wang, Yue Yang, Wenchuan Wu

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

FVDebug: An LLM-Driven Debugging Assistant for Automated Root Cause Analysis of Formal Verification Failures

Yunsheng Bai, Ghaith Bany Hamad, Chia-Tung Ho, Syed Suhaib, Haoxing Ren

机构 * NVIDIA 纠错

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

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)

VietBinoculars: A Zero-Shot Approach for Detecting Vietnamese LLM-Generated Text

Trieu Hai Nguyen, Sivaswamy Akilesh

机构 * Faculty of Information Technology, Nha Trang University（信息科技学院，纳享大学） ； Faculty of Business Administration, Swiss School of Business and Management Geneva（商业管理学院，瑞士商业与管理学校日内瓦） 纠错

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

Comments 27 pages

Beyond Stars: Bridging the Gap Between Ratings and Review Sentiment with LLM

Najla Zuhir, Amna Mohammad Salim, Parvathy Premkumar, Moshiur Farazi

机构 * College of Computing & Information Technology University of Doha for Science and Technology（计算与信息科技学院 优德科技大学） 纠错

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

Comments Paper accepted for presentation at ACS/IEEE 22nd International Conference on Computer Systems and Applications (AICCSA 2025)

Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering

Kun Zhu, Lizi Liao, Yuxuan Gu, Lei Huang, Xiaocheng Feng, Bing Qin

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

Comments Accepted to EMNLP 2025 Main

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats

Quanyan Zhu

机构 * Quanyan Zhu 纠错

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

On the Domain Robustness of Contrastive Vision-Language Models

Mario Koddenbrock, Rudolf Hoffmann, David Brodmann, Erik Rodner

机构 * KI-Werkstatt/Fachbereich 2, University of Applied Sciences Berlin（柏林应用技术大学人工智能工作室/第二学系） 纠错

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

Comments Deepbench is available at https://github.com/ml-lab-htw/deepbench

Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education

Ruiwei Xiao, Xinying Hou, Runlong Ye, Majeed Kazemitabaar, Nicholas Diana, Michael Liut, John Stamper

机构 * Carnegie Mellon University（卡内基梅隆大学） ； University of Michigan（密歇根大学） ； University of Toronto（多伦多大学） ； Colgate University（科尔盖特大学） ； University of Toronto Mississauga（多伦多大学密西根分校） 纠错

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

Comments Under review for Elsevier Journal. Journal policy allows submitting as preprint

Reason-to-Recommend: Using Interaction-of-Thought Reasoning to Enhance LLM Recommendation

Keyu Zhao, Fengli Xu, Yong Li

机构 * Department of Electronic Engineering, Tsinghua University（电子工程系，清华大学） 纠错

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

OmniScience: A Domain-Specialized LLM for Scientific Reasoning and Discovery

Vignesh Prabhakar, Md Amirul Islam, Adam Atanas, Yao-Ting Wang, Joah Han, Aastha Jhunjhunwala, Rucha Apte, Robert Clark, Kang Xu, Zihan Wang, Kai Liu

机构 * SES AI（SES人工智能公司） ； NVIDIA（英伟达公司） 纠错

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

MEPNet: Medical Entity-balanced Prompting Network for Brain CT Report Generation

Xiaodan Zhang, Yanzhao Shi, Junzhong Ji, Chengxin Zheng, Liangqiong Qu

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

Comments AAAI 2025 Oral Paper

Leveraging Domain Knowledge at Inference Time for LLM Translation: Retrieval versus Generation

Bryan Li, Jiaming Luo, Eleftheria Briakou, Colin Cherry

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

Less or More: Towards Glanceable Explanations for LLM Recommendations Using Ultra-Small Devices

Xinru Wang, Mengjie Yu, Hannah Nguyen, Michael Iuzzolino, Tianyi Wang, Peiqi Tang, Natasha Lynova, Co Tran, Ting Zhang, Naveen Sendhilnathan, Hrvoje Benko, Haijun Xia, Tanya Jonker

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

Uncertainty Quantification and Decomposition for LLM-based Recommendation

Wonbin Kweon, Sanghwan Jang, SeongKu Kang, Hwanjo Yu

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

Comments WWW 2025

UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs

Yufei He, Yuan Sui, Xiaoxin He, Bryan Hooi

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

Comments KDD 2025

Multi-LLM Collaborative Caption Generation in Scientific Documents

Jaeyoung Kim, Jongho Lee, Hong-Jun Choi, Ting-Yao Hsu, Chieh-Yang Huang, Sungchul Kim, Ryan Rossi, Tong Yu, Clyde Lee Giles, Ting-Hao 'Kenneth' Huang, Sungchul Choi

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

Comments Accepted to AAAI 2025 AI4Research Workshop

WeatherDG: LLM-assisted Diffusion Model for Procedural Weather Generation in Domain-Generalized Semantic Segmentation

Chenghao Qian, Yuhu Guo, Yuhong Mo, Wenjing Li

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

MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation

Zheyuan Zhang, Zehong Wang, Tianyi Ma, Varun Sameer Taneja, Sofia Nelson, Nhi Ha Lan Le, Keerthiram Murugesan, Mingxuan Ju, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye

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

Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models

Songtao Jiang, Tuo Zheng, Yan Zhang, Yeying Jin, Li Yuan, Zuozhu Liu

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

Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning

Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu

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

Comments 10 pages, 2 figures, accepted at DSAA 2024

Decomposed Prompting to Answer Questions on a Course Discussion Board

Brandon Jaipersaud, Paul Zhang, Jimmy Ba, Andrew Petersen, Lisa Zhang, Michael R. Zhang

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

Comments 6 pages. Published at International Conference on Artificial Intelligence in Education 2023. Code repository: https://github.com/brandonjaipersaud/piazza-qabot-gpt

Journal ref In: Artificial Intelligence in Education. AIED 2023. Communications in Computer and Information Science, vol 1831. Springer, Cham

Towards Automated Solution Recipe Generation for Industrial Asset Management with LLM

Nianjun Zhou, Dhaval Patel, Shuxin Lin, Fearghal O'Donncha

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

JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability

Junda Wang, Zhichao Yang, Zonghai Yao, Hong Yu

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

Towards Graph Foundation Models for Personalization

Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas

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