语言大模型 / LLM

A Study of Large Language Models for Patient Information Extraction: Model Architecture, Fine-Tuning Strategy, and Multi-task Instruction Tuning

Cheng Peng, Xinyu Dong, Mengxian Lyu, Daniel Paredes, Yaoyun Zhang, Yonghui Wu

专题命中 指令微调 ：large language model(title,abstract)；language model(title,abstract)；instruction tuning(title,abstract)；LLM(abstract)

Serialized Output Prompting for Large Language Model-based Multi-Talker Speech Recognition

Hao Shi, Yusuke Fujita, Tomoya Mizumoto, Lianbo Liu, Atsushi Kojima, Yui Sudo

机构 * SB Intuitions 纠错

专题命中 指令微调 ：large language model(title,abstract)；language model(title,abstract)；prompting(title)；LLM(abstract)

Scaling behavior of large language models in emotional safety classification across sizes and tasks

Edoardo Pinzuti, Oliver Tüscher, André Ferreira Castro

机构 * Leibniz Institute for Resilience Research（莱比锡韧性研究所） ； University Medical Center Halle（哈雷医学院） ； German Center for Mental Health (DZPG)（德国心理健康中心（DZPG）） ； University Medical Center of the Johannes Gutenberg-University Mainz（美因茨约瑟夫·冯·拉贝大学医学院） 纠错

专题命中 指令微调 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；分类 cs.CL、cs.LG

Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting

Mohamed Salim Aissi, Clement Romac, Thomas Carta, Sylvain Lamprier, Pierre-Yves Oudeyer, Olivier Sigaud, Laure Soulier, Nicolas Thome

专题命中 指令微调 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；分类 cs.LG

Discrete Prompt Tuning via Recursive Utilization of Black-box Multimodal Large Language Model for Personalized Visual Emotion Recognition

Ryo Takahashi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

机构 * Graduate School of Information Science（信息科学研究生学校） ； Technology, Hokkaido University, Sapporo 060-0814, Japan（技术，北海道大学，札幌060-0814，日本） ； Office of Institutional Research, Hokkaido University, Sapporo 060-0808, Japan（机构研究办公室，北海道大学，札幌060-0808，日本） ； Faculty of Information Science（信息科学学院） 纠错

专题命中 指令微调 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.LG

Comments 11 pages, 4 figures

Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning

Tiansheng Huang, Gautam Bhattacharya, Pratik Joshi, Josh Kimball, Ling Liu

机构 * Georgia Institute of Technology（佐治亚理工学院） ； Dolby Laboratories（杜比实验室） 纠错

专题命中 指令微调 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.AI

Comments Rejected by AAAI25-AIA. Accepted by ICML25. Authors are thankful to the anonymous reviewers from both AAAI25-AIA and ICML25

The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs

Pengrui Han, Rafal Kocielnik, Peiyang Song, Ramit Debnath, Dean Mobbs, Anima Anandkumar, R. Michael Alvarez

机构 * Caltech（加州理工学院） ； UIUC（伊利诺伊大学） ； University of Cambridge（剑桥大学） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；instruction tuning(abstract)

Comments We make public all code and source data at https://github.com/psychology-of-AI/Personality-Illusion for full reproducibility

L1RA: Dynamic Rank Assignment in LoRA Fine-Tuning

Raul Singh, Nicolo Brunello, Vincenzo Scotti, Mark James Carman

机构 * DEIB, Politecnico di Milano（米兰Politecnico大学DEIB系） ； KASTEL, Karlsruhe Institute of Technology (KIT)（卡尔斯鲁厄理工学院（KIT）KASTEL） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；post-training(abstract)

Comments Work published at ICNLSP 2025, waiting for publication link

SpeechLLM: Unified Speech and Language Model for Enhanced Multi-Task Understanding in Low Resource Settings

Jaekwon Yoo, Kunal Chandiramani, Divya Tadimeti, Abenezer Girma, Chandra Dhir

机构 * JPMorganChaseUSA（摩根大通公司） ； Columbia UniversityUSA（哥伦比亚大学） 纠错

专题命中 指令微调 ：language model(title)；LLM(abstract)；分类 cs.CL、cs.AI

Towards Ontology-Based Descriptions of Conversations with Qualitatively-Defined Concepts

Barbara Gendron, Gaël Guibon, Mathieu D'aquin

机构 * Loria, CNRS, Université de Lorraine, Nancy, France（Loria研究所、法国国家科学研究中心、洛林大学、南希分校） ； Université Sorbonne Paris Nord, CNRS, Laboratoire d'Informatique de Paris Nord, LIPN, F-93430 Villetaneuse, France（巴黎北大学、法国国家科学研究中心、巴黎北信息技术实验室、LIPN、法国） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Accepted at TOTh 2025 (Terminology \& Ontology: Theories and applications)

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs

Brennen Hill, Surendra Parla, Venkata Abhijeeth Balabhadruni, Atharv Prajod Padmalayam, Sujay Chandra Shekara Sharma

机构 * University of Wisconsin-Madison（威斯康星大学麦迪逊分校） 纠错

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；分类 cs.CL、cs.LG

Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs

Zitian Wang, Yue Liao, Kang Rong, Fengyun Rao, Yibo Yang, Si Liu

机构 * Beihang University（北航大学） ； National University of Singapore（国立新加坡大学） ； King Abdullah University of Science and Technology（国王 Abdullah 科学与技术大学） 纠错

专题命中 指令微调 ：large language model(abstract)；language model(abstract)

Comments Accepted by ICCV 2025

Maestro: Joint Graph & Config Optimization for Reliable AI Agents

Wenxiao Wang, Priyatham Kattakinda, Soheil Feizi

专题命中 指令微调 ：LLM(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Technical Report by RELAI.ai

Manipulating Transformer-Based Models: Controllability, Steerability, and Robust Interventions

Faruk Alpay, Taylan Alpay

机构 * Lightcap ； Department of Future（未来系） ； Turkish Aeronautical Association（土耳其航空航天协会） 纠错

专题命中 指令微调 ：language model(abstract)；分类 cs.CL、cs.AI

Comments 13 pages

Adaptive Learning Strategies for Mitotic Figure Classification in MIDOG2025 Challenge

Biwen Meng, Xi Long, Jingxin Liu

机构 * School of AI and Advanced Computing, Xi’an Jiaotong-Liverpool University（人工智能与先进计算学院，西安交通大学利物浦大学） 纠错

专题命中 指令微调 ：foundation model(abstract)；分类 cs.AI