语言大模型 / LLM - arXivDaily 专题

1909.00615 2019-09-04 cs.CL 79%

Enriching Medcial Terminology Knowledge Bases via Pre-trained Language Model and Graph Convolutional Network

Jiaying Zhang, Zhixing Zhang, Huanhuan Zhang, Zhiyuan Ma, Yangming Zhou, Ping He

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

Comments 8 pages, submitted to BIBM 2019

1907.05340 2019-07-12 cs.CL 79%

Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile

Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng

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

Journal ref LNCS2017

1906.07854 2019-06-20 cs.CL 79%

Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model

Jiin Nam, Seunghyun Yoon, Kyomin Jung

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

Comments 9 pages, Accepted to ACL 2019 workshop on BioNLP

1905.10431 2019-05-28 cs.CL 79%

What Syntactic Structures block Dependencies in RNN Language Models?

Ethan Wilcox, Roger Levy, Richard Futrell

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

Comments To Appear at the 41st Annual Meeting of the Cognitive Science Society, Montreal, Canada, July 2019

1905.07002 2019-05-23 cs.CL 79%

Towards Automatic Generation of Shareable Synthetic Clinical Notes Using Neural Language Models

Oren Melamud, Chaitanya Shivade

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

Comments Clinical NLP Workshop 2019

1903.10915 2019-03-27 cs.CL 79%

Language Model Adaptation for Language and Dialect Identification of Text

Tommi Jauhiainen, Krister Lindén, Heidi Jauhiainen

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

1902.07613 2019-02-21 cs.CL 79%

Phoneme Level Language Models for Sequence Based Low Resource ASR

Siddharth Dalmia, Xinjian Li, Alan W Black, Florian Metze

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

Comments To appear in ICASSP 2019

1805.11749 2019-01-31 cs.CL 79%

Unsupervised Text Style Transfer using Language Models as Discriminators

Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick

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

Comments NeurIPS camera ready

1803.04291 2018-06-19 cs.CL 79%

Entity-Aware Language Model as an Unsupervised Reranker

Mohammad Sadegh Rasooli, Sarangarajan Parthasarathy

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

Journal ref Interspeech 2018

1710.02603 2018-05-08 cs.CL 79%

Low-Rank RNN Adaptation for Context-Aware Language Modeling

Aaron Jaech, Mari Ostendorf

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

Comments Accepted to TACL

cs/0206036 2016-11-15 cs.CL 79%

Language Modeling for Multi-Domain Speech-Driven Text Retrieval

Katunobu Itou, Atsushi Fujii, Tetsuya Ishikawa

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

Journal ref IEEE Automatic Speech Recognition and Understanding Workshop, Dec. 2001

1610.06370 2016-10-21 cs.CL cs.HC cs.NE 79%

Clinical Text Prediction with Numerically Grounded Conditional Language Models

Georgios P. Spithourakis, Steffen E. Petersen, Sebastian Riedel

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

Comments Accepted at the 7th International Workshop on Health Text Mining and Information Analysis (LOUHI) EMNLP 2016

1504.02490 2015-04-13 cs.CL 79%

Leveraging Twitter for Low-Resource Conversational Speech Language Modeling

Aaron Jaech, Mari Ostendorf

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

1502.02277 2015-02-10 cs.IR cs.CL 79%

Improving Term Frequency Normalization for Multi-topical Documents, and Application to Language Modeling Approaches

Seung-Hoon Na, In-Su Kang, Jong-Hyeok Lee

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

Comments 8 pages, conference paper, published in ECIR '08

Journal ref Advances in Information Retrieval Lecture Notes in Computer Science Volume 4956, 2008, pp 382-393

cmp-lg/9703001 2009-11-30 cmp-lg cs.CL 79%

Domain Adaptation with Clustered Language Models

Joerg P. Ueberla

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

Comments preprint - to appear in ICASSP 97

cmp-lg/9711007 2009-11-30 cmp-lg cs.CL 79%

Language Modelling For Task-Oriented Domains

Cosmin Popovici, Paolo Baggia

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

Comments 5 pages, LaTeX, 4 eps figures, uses icassp91.sty, and epsf.tex

Journal ref Proceedings of EUROSPEECH'97, Rhodes, Greece, vol. 3, pp. 1459-1462

2602.15371 2026-04-22 cs.CY 79%

From PhysioNet to Foundation Models -- A History and Potential Futures

从PhysioNet到基础模型——一段历史与潜在未来

Gari D. Clifford

专题命中领域大模型：foundation model(title,abstract)

AI总结文章回顾了过去30年医学数据与模型共享的发展历程，探讨了基础模型、Tiny-ML和边缘计算等未来方向，以及开放获取代码、比赛机制和科学可重复性等关键问题。

Comments 56 pages, 6 figures, 3 tables. Extended from: Gari D. Clifford. Past, Present and Future Challenges in Sharing Science: From PhysioNet to Foundation Models. 51st Computing in Cardiology, Karlsruhe, Germany, 51:1-4, 2024

2503.21840 2026-04-10 eess.IV cs.CV 79%

Vision Language Models versus Machine Learning Models Performance on Polyp Detection and Classification in Colonoscopy Images

视觉语言模型与机器学习模型在结肠镜图像息肉检测与分类中的性能对比

Mohammad Amin Khalafi, Seyed Amir Ahmad Safavi-Naini, Ameneh Salehi, Nariman Naderi, Dorsa Alijanzadeh, Pardis Ketabi Moghadam, Kaveh Kavosi, Negar Golestani, Shabnam Shahrokh, Soltanali Fallah, Jamil S Samaan, Nicholas P. Tatonetti, Nicholas Hoerter, Girish Nadkarni, Hamid Asadzadeh Aghdaei, Ali Soroush

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

AI总结本文对比了视觉语言模型与传统机器学习模型在结肠镜图像息肉检测和分类任务中的性能，发现ResNet50在检测任务中表现最佳，而BiomedCLIP和GPT-4在特定情况下也表现出色。

Comments Code is available at: https://github.com/aminkhalafi/CML-vs-LLM-on-Polyp-Detection. CoI: AlSo serves on the advisory board and holds equity in Virgo Surgical Solutions. The other authors declare no conflicts of interest. Data

Journal ref Scientific Reports 15, 45484 (2025)

2603.20985 2026-03-24 cs.CV 79%

Consistent but Dangerous: Per-Sample Safety Classification Reveals False Reliability in Medical Vision-Language Models

一致却危险：每样本安全分类揭示医疗视觉-语言模型中的虚假可靠性

Binesh Sadanandan, Vahid Behzadan

机构 * SAIL Lab, University of New Haven（SAIL实验室，新罕布什尔大学）

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

AI总结研究揭示医疗VLMs中一致性指标的缺陷，通过四象限分类发现危险样本高准确率且低熵，建议部署评估需结合文本基线以识别虚假可靠性。

Comments CVPR 2026 Workshop on Medical Reasoning with Vision Language Foundation Models

2409.11175 2025-11-19 astro-ph.IM 79%

Bridging the Gap: Examining Vision Foundation Models for Optical and Radio Astronomy Applications

E. Lastufka, O. Bait, M. Drozdova, V. Kinakh, D. Piras, M. Audard, M. Dessauges-Zavadsky, T. Holotyak, D. Schaerer, S. Voloshynovskiy

专题命中领域大模型：foundation model(title,abstract)

Comments 12 pages, 5 figures, submitted to Astronomy and Astrophysics. A previous version of this work was accepted to the Foundation Models for Science Workshop at NeurIPS 2024

Journal ref A&A 703, A217 (2025)

2507.22398 2025-08-14 cs.CV 79%

On the Reliability of Vision-Language Models Under Adversarial Frequency-Domain Perturbations

Jordan Vice, Naveed Akhtar, Yansong Gao, Richard Hartley, Ajmal Mian

机构 * University of Western Australia（西澳大学）； University of Melbourne（墨尔本大学）； Australian National University（澳大利亚国立大学）

专题命中领域大模型：language model(title,abstract)

Comments Keywords: Vision-Language Models, Frequency-Domain Perturbations, Adversarial Robustness, Image Authenticity, Reliability

2408.15802 2025-06-24 cs.CV 79%

Visual Prompt Engineering for Vision Language Models in Radiology

Stefan Denner, Markus Bujotzek, Dimitrios Bounias, David Zimmerer, Raphael Stock, Klaus Maier-Hein

机构 * Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany（德国癌症研究中心医学图像计算部）； Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany（海德堡大学数学与计算机科学学院）； Medical Faculty Heidelberg, University of Heidelberg, Heidelberg, Germany（海德堡大学医学学院）

专题命中领域大模型：language model(title)；pretraining(abstract)；foundation model(comments)

Comments Accepted at ECCV 2024 Workshop on Emergent Visual Abilities and Limits of Foundation Models & Medical Imaging with Deep Learning 2025

2411.04750 2024-11-08 astro-ph.IM astro-ph.GA astro-ph.SR 79%

SpectraFM: Tuning into Stellar Foundation Models

Nolan Koblischke, Jo Bovy

专题命中领域大模型：foundation model(title,abstract)

Comments Accepted at the NeurIPS 2024 Workshop on Foundation Models for Science

2406.09896 2024-06-18 cs.CV 79%

Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation

Brunó B. Englert, Fabrizio J. Piva, Tommie Kerssies, Daan de Geus, Gijs Dubbelman

专题命中领域大模型：foundation model(title,abstract)

Comments CVPR 2024 Workshop Proceedings for the Second Workshop on Foundation Models

2403.06396 2024-03-12 eess.IV cs.CV 79%

A Segmentation Foundation Model for Diverse-type Tumors

Jianhao Xie, Ziang Zhang, Guibo Luo, Yuesheng Zhu

专题命中领域大模型：foundation model(title,abstract)

Comments 10 pages, 2 figures.About Medical image segmentation and Foundation Model

2201.07338 2022-08-24 q-bio.BM 79%

Controllable Protein Design with Language Models

Noelia Ferruz, Birte Höcker

专题命中领域大模型：language model(title,abstract)

Comments This is a version before peer-review. A view-only, peer-reviewed, published version can be found here: https://rdcu.be/cQbmH. The peer-reviewed version is under embargo at Nat Mach Intell until 12/2022

Journal ref Controllable protein design with language models. Nat Mach Intell 4, 521-532, 2022

2608.22802 2026-08-25 cs.CL cs.AI 新提交 79%

SDoH-Aware Narrative Anchoring Bias in Medical LLMs for Trustworthy Clinical Decision Support

面向可信临床决策支持的、关注社会决定健康因素（SDoH）的医学大语言模型叙事锚定偏差

Ahnaf Atef Choudhury, Ramkrishna Saha

机构 * George Mason University（乔治梅森大学）； The University of Texas at Dallas（德克萨斯大学达拉斯分校）

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

AI总结该研究针对医学大语言模型的叙事锚定偏差问题，以Qwen2.5系列模型为对象开展实验，发现7B模型仍存在较高叙事敏感性误差，提出需结合正确率与叙事稳定性评估临床决策支持模型。

Comments Accepted for publication at 10th International Artificial Intelligence and Data Processing Symposium (IDAP'26)

2608.22167 2026-08-25 cs.AI cs.LG 新提交 79%

MCP-Universe RL: A Framework for Training MCP Tool-Use Agents via Reinforcement Learning

MCP-Universe RL：一种通过强化学习训练MCP工具使用智能体的框架

Ziyang Luo, Yan Yang, Xiangru Jian, Ziji Shi, Xiaoqiang Lin, Jun Hao Liew, Silvio Savarese, Junnan Li

机构 * Salesforce AI Research（Salesforce AI研究院）

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

AI总结该研究提出MCP-U RL开源框架，依托MCP协议解决RL训练中环境搭建与GPU利用率问题，在gpt-oss-20b上训练三类工具使用智能体并提升了任务奖励。

Comments Technical Report

2608.10766 2026-08-14 cs.AI cs.LG stat.ML 版本更新 79%

Rule of Thumb: Explaining Artificial Intelligence Systems using Partial Information

经验法则：使用部分信息解释人工智能系统

Kaivalya Rawal, Daria Onitiu, Brent Mittelstadt, Sandra Wachter, Chris Russell

机构 * University of Oxford（牛津大学）； Hasso Plattner Institute（哈索·普拉特纳研究所）； Weizenbaum Institute（魏茨曼研究所）

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

AI总结该研究提出名为“经验法则”（RoT）的新型XAI方法，可识别特定数据点下与AI系统行为最相关的特征，适用于零样本分类等场景，符合AI法规且效率更高。

Comments Code available at: https://github.com/KaiRawal/Rule-of-Thumb-Explaining-Artificial-Intelligence-Systems-using-Partial-Information

2511.06230 2026-08-06 cs.CL cs.AI 79%

Overview of CHIP 2025 Shared Task 2: Discharge Medication Recommendation for Metabolic Diseases Based on Chinese Electronic Health Records

Juntao Li, Haobin Yuan, Ling Luo, Tengxiao Lv, Yan Jiang, Fan Wang, Ping Zhang, Huiyi Lv, Jian Wang, Yuanyuan Sun, Hongfei Lin

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

Journal ref Health Information Processing. CHIP 2025. Communications in Computer and Information Science, vol 2884

1. 领域大模型 12705 篇

Enriching Medcial Terminology Knowledge Bases via Pre-trained Language Model and Graph Convolutional Network

Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile

Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model

What Syntactic Structures block Dependencies in RNN Language Models?

Towards Automatic Generation of Shareable Synthetic Clinical Notes Using Neural Language Models

Language Model Adaptation for Language and Dialect Identification of Text

Phoneme Level Language Models for Sequence Based Low Resource ASR

Unsupervised Text Style Transfer using Language Models as Discriminators

Entity-Aware Language Model as an Unsupervised Reranker

Low-Rank RNN Adaptation for Context-Aware Language Modeling

Language Modeling for Multi-Domain Speech-Driven Text Retrieval

Clinical Text Prediction with Numerically Grounded Conditional Language Models

Leveraging Twitter for Low-Resource Conversational Speech Language Modeling

Improving Term Frequency Normalization for Multi-topical Documents, and Application to Language Modeling Approaches

Domain Adaptation with Clustered Language Models

Language Modelling For Task-Oriented Domains

From PhysioNet to Foundation Models -- A History and Potential Futures

Vision Language Models versus Machine Learning Models Performance on Polyp Detection and Classification in Colonoscopy Images

Consistent but Dangerous: Per-Sample Safety Classification Reveals False Reliability in Medical Vision-Language Models

Bridging the Gap: Examining Vision Foundation Models for Optical and Radio Astronomy Applications

On the Reliability of Vision-Language Models Under Adversarial Frequency-Domain Perturbations

Visual Prompt Engineering for Vision Language Models in Radiology

SpectraFM: Tuning into Stellar Foundation Models

Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation

A Segmentation Foundation Model for Diverse-type Tumors

Controllable Protein Design with Language Models

SDoH-Aware Narrative Anchoring Bias in Medical LLMs for Trustworthy Clinical Decision Support

MCP-Universe RL: A Framework for Training MCP Tool-Use Agents via Reinforcement Learning

Rule of Thumb: Explaining Artificial Intelligence Systems using Partial Information

Overview of CHIP 2025 Shared Task 2: Discharge Medication Recommendation for Metabolic Diseases Based on Chinese Electronic Health Records