语言大模型 / LLM

MoECollab: Democratizing LLM Development Through Collaborative Mixture of Experts

Harshit

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、cs.LG

RetinalGPT: A Retinal Clinical Preference Conversational Assistant Powered by Large Vision-Language Models

Wenhui Zhu, Xin Li, Xiwen Chen, Peijie Qiu, Vamsi Krishna Vasa, Xuanzhao Dong, Yanxi Chen, Natasha Lepore, Oana Dumitrascu, Yi Su, Yalin Wang

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

CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search

Kaixin Wu, Yixin Ji, Zeyuan Chen, Qiang Wang, Cunxiang Wang, Hong Liu, Baijun Ji, Jia Xu, Zhongyi Liu, Jinjie Gu, Yuan Zhou, Linjian Mo

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、cs.LG

Comments NAACL 2025

SciPIP: An LLM-based Scientific Paper Idea Proposer

Wenxiao Wang, Lihui Gu, Liye Zhang, Yunxiang Luo, Yi Dai, Chen Shen, Liang Xie, Binbin Lin, Xiaofei He, Jieping Ye

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、cs.LG

Comments 20 pages, 5 figures, 12 tables. The code has been availabel: https://github.com/cheerss/SciPIP

Solving the Content Gap in Roblox Game Recommendations: LLM-Based Profile Generation and Reranking

Chen Wang, Xiaokai Wei, Yexi Jiang, Frank Ong, Kevin Gao, Xiao Yu, Zheng Hui, Se-eun Yoon, Philip Yu, Michelle Gong

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、cs.LG

SPRec: Self-Play to Debias LLM-based Recommendation

Chongming Gao, Ruijun Chen, Shuai Yuan, Kexin Huang, Yuanqing Yu, Xiangnan He

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

Comments Accepted by WWW 2025

LLM-Mediated Domain-Specific Voice Agents: The Case of TextileBot

Shu Zhong, Elia Gatti, James Hardwick, Miriam Ribul, Youngjun Cho, Marianna Obrist

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

Comments Published at Behaviour and Information Technology Journal

Aviary: training language agents on challenging scientific tasks

Siddharth Narayanan, James D. Braza, Ryan-Rhys Griffiths, Manu Ponnapati, Albert Bou, Jon Laurent, Ori Kabeli, Geemi Wellawatte, Sam Cox, Samuel G. Rodriques, Andrew D. White

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

TalkWithMachines: Enhancing Human-Robot Interaction for Interpretable Industrial Robotics Through Large/Vision Language Models

Ammar N. Abbas, Csaba Beleznai

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

Comments This paper has been accepted for publication in the proceedings of the 2024 Eighth IEEE International Conference on Robotic Computing (IRC)

xVal: A Continuous Numerical Tokenization for Scientific Language Models

Siavash Golkar, Mariel Pettee, Michael Eickenberg, Alberto Bietti, Miles Cranmer, Geraud Krawezik, Francois Lanusse, Michael McCabe, Ruben Ohana, Liam Parker, Bruno Régaldo-Saint Blancard, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho

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

Comments 15 pages, 12 figures. Appendix: 8 pages, 2 figures. Accepted contribution at the NeurIPS Workshop on ML for the Physical Sciences

CriticAL: Critic Automation with Language Models

Michael Y. Li, Vivek Vajipey, Noah D. Goodman, Emily B. Fox

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

ControlAgent: Automating Control System Design via Novel Integration of LLM Agents and Domain Expertise

Xingang Guo, Darioush Keivan, Usman Syed, Lianhui Qin, Huan Zhang, Geir Dullerud, Peter Seiler, Bin Hu

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、cs.LG

Representation Learning of Structured Data for Medical Foundation Models

Vijay Prakash Dwivedi, Viktor Schlegel, Andy T. Liu, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Jeng Wei, Wei-Hsian Yin, Stefan Winkler, Robby T. Tan

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

Comments NeurIPS 2024 Workshop on Unifying Representations in Neural Models (UniReps 2024)

Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding

Shenghuan Sun, Alexander Schubert, Gregory M. Goldgof, Zhiqing Sun, Thomas Hartvigsen, Atul J. Butte, Ahmed Alaa

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

Comments Code available at: https://github.com/AlaaLab/Dr-LLaVA

MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance

Jihye Choi, Nils Palumbo, Prasad Chalasani, Matthew M. Engelhard, Somesh Jha, Anivarya Kumar, David Page

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、cs.LG

Comments Paper published at Machine Learning for Healthcare 2024 (MLHC'24)

Agentic LLM Workflows for Generating Patient-Friendly Medical Reports

Malavikha Sudarshan, Sophie Shih, Estella Yee, Alina Yang, John Zou, Cathy Chen, Quan Zhou, Leon Chen, Chinmay Singhal, George Shih

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

Comments 12 pages, 7 figures

PenHeal: A Two-Stage LLM Framework for Automated Pentesting and Optimal Remediation

Junjie Huang, Quanyan Zhu

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

Industrial Language-Image Dataset (ILID): Adapting Vision Foundation Models for Industrial Settings

Keno Moenck, Duc Trung Thieu, Julian Koch, Thorsten Schüppstuhl

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

Comments Dataset at https://github.com/kenomo/ilid training- and evaluation-related code at https://github.com/kenomo/industrial-clip

Interpretable Cross-Examination Technique (ICE-T): Using highly informative features to boost LLM performance

Goran Muric, Ben Delay, Steven Minton

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、cs.LG

Distinguishing the Knowable from the Unknowable with Language Models

Gustaf Ahdritz, Tian Qin, Nikhil Vyas, Boaz Barak, Benjamin L. Edelman

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

Diversity Measures: Domain-Independent Proxies for Failure in Language Model Queries

Noel Ngu, Nathaniel Lee, Paulo Shakarian

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

Enhance Multi-domain Sentiment Analysis of Review Texts through Prompting Strategies

Yajing Wang, Zongwei Luo

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

OpenAGI: When LLM Meets Domain Experts

Yingqiang Ge, Wenyue Hua, Kai Mei, Jianchao Ji, Juntao Tan, Shuyuan Xu, Zelong Li, Yongfeng Zhang

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、cs.LG

Comments In NeurIPS 2023

Toxicity in ChatGPT: Analyzing Persona-assigned Language Models

Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan

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

There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question Answering

Ankush Agarwal, Sakharam Gawade, Sachin Channabasavarajendra, Pushpak Bhattacharyya

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

MEDLAYXPLAIN: Benchmarking the Expert-Lay Gap in Medical Vision-Language Models

MEDLAYXPLAIN: 医学视觉语言模型中的专家-外行差距基准测试

Han Jang, Junhyeok Lee, Songsoo Kim, Chae Young Lim, Hyeonjin Goh, Heeseong Eum, Kyu Sung Choi

机构 * Seoul National University（首尔大学） ； Seoul National University Hospital（首尔大学医院） ； Seoul National University College of Medicine（首尔大学医学院） ； Sungkyunkwan University School of Medicine（成均馆大学医学院） 纠错

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

AI总结 提出首个大规模医学外行语言生成基准MedLayXPlain，包含12万+区域级样本和三层UMLS本体，通过HOVER管道构建外行描述，并引入轻量级评估器MedLayEval，揭示当前医学VLM在外行可读性与临床精度间的系统性差距。

Comments 40 pages (10 pages main text, 30 pages appendix), 4 main figures, 33 vision-language models benchmarked

Frequency Matters: When Time Series Foundation Models Fail Under Spectral Shift

Tianze Wang, Sofiane Ennadir, John Pertoft, Gabriela Zarzar Gandler, Lele Cao, Zineb Senane, Styliani Katsarou, Sahar Asadi, Axel Karlsson, Oleg Smirnov

机构 * King AI Labs, Microsoft Gaming（King AI实验室，微软游戏） ； KTH Royal Institute of Technology（皇家理工学院） ； Kreditz AB（Kreditz公司） ； Fever Energy（Fever能源） 纠错

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

Comments Accepted and presented at NeurIPS 2025 Workshop on Recent Advances in Time Series Foundation Models (BERT2S)

Fine-Tuning Medical Language Models for Enhanced Long-Contextual Understanding and Domain Expertise

Qimin Yang, Rongsheng Wang, Jiexin Chen, Runqi Su, Tao Tan

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

Comments 5 pages, 1 figure. Accepted by the Workshop on Long-Context Foundation Models (LCFM) at ICML 2024

LSem2Vec: A Simple yet Effective Two-Stage Approach for Source Code Embedding

LSem2Vec：一种简单且有效的源代码嵌入两阶段方法

Zixiang Xian, Chenhui Cui, Rubing Huang, Chunrong Fang, Zhenyu Chen

机构 * Macau University of Science and Technology（澳门科学技术大学） ； Macau University of Science and Technology Zhuhai MUST Science and Technology Research Institute（澳门科学技术大学珠海 MUST 科技研究院） ； Nanjing University（南京大学） 纠错

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

AI总结 LSem2Vec是结合LLM与句子嵌入模型的两阶段源代码嵌入方法，无需特定任务训练，在三个多语言数据集上优于五种无监督基线，可推进软件工程领域发展。

Comments The article has been accepted by Frontiers ofComputer Science (FCS), with the DOI:{10.1007/s11704-026-61288-0)

A Neurosymbolic Approach for Constructing Planning Domain Models from Clinical Narratives

一种从临床叙事构建规划领域模型的神经符号方法

Ranveer Singh, Saurabh Mathur, Michael Skinner, Prasad Tadepalli, Kristian Kersting, Sriraam Natarajan

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

AI总结 针对临床叙事难以构建外科手术概率规划模型的问题，提出神经符号框架NSPIN，结合预训练LLM从2660份阑尾切除术记录生成的模型可泛化且符合临床实践。