语言大模型 / LLM

Adaptive Content Restriction for Large Language Models via Suffix Optimization

Yige Li, Peihai Jiang, Jun Sun, Peng Shu, Tianming Liu, Zhen Xiang

机构 * Singapore Management University（新加坡管理大学） ； The University of Georgia（佐治亚大学） 纠错

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

Comments 19 pages

Contextual Phenotyping of Pediatric Sepsis Cohort Using Large Language Models

Aditya Nagori, Ayush Gautam, Matthew O. Wiens, Vuong Nguyen, Nathan Kenya Mugisha, Jerome Kabakyenga, Niranjan Kissoon, John Mark Ansermino, Rishikesan Kamaleswaran

机构 * Department of Surgery, Duke university school of medicine（杜克大学医学学院外科部） ； Department of Anesthesiology, Duke university school of medicine（杜克大学医学学院麻醉科） ； Indian Institute of Technology, Goa（印度去邦理工学院） ； Institute for Global Health, BC Children’s Hospital and BC Women’s Hospital + Health Centre（全球健康研究所，BC儿童医院和BC妇女医院及健康中心） ； Department of Anesthesia, Pharmacology & Therapeutics, University of British Columbia（不列颠哥伦比亚大学麻醉学、药理学与治疗学系） ； BC Children’s Hospital Research Institute, BC Children’s Hospital（BC儿童医院研究学院，BC儿童医院） ； Department of Pediatrics, University of British Columbia（不列颠哥伦比亚大学儿科系） ； Walimu, Kampala, Uganda（乌干达坎帕拉沃尔imu） ； Department of Community Health, Mbarara University of Science and Technology（马巴拉拉大学科学与技术学院社区健康系） 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.AI、cs.LG

Comments 11 pages, 2 Figures, 1 Table

Evaluating Position Bias in Large Language Model Recommendations

Ethan Bito, Yongli Ren, Estrid He

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

Self-Evolving Critique Abilities in Large Language Models

Zhengyang Tang, Ziniu Li, Zhenyang Xiao, Tian Ding, Ruoyu Sun, Benyou Wang, Dayiheng Liu, Fei Huang, Tianyu Liu, Bowen Yu, Junyang Lin

机构 * The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）） ； Shenzhen Research Institute of Big Data（深圳大数据研究院） ； Shenzhen International Center for Industrial and Applied Mathematics（深圳国际工业与应用数学中心） ； Qwen Team, Alibaba Inc.（阿里云通义团队） 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.AI、cs.LG

Comments Accepted by COLM 2025

Accurate and Interpretable Postmenstrual Age Prediction via Multimodal Large Language Model

Qifan Chen, Jin Cui, Cindy Duan, Yushuo Han, Yifei Shi

机构 * King’s College London（伦敦国王学院） ； Imperial College London（帝国理工学院） ； Columbia University（哥伦比亚大学） 纠错

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

Comments Submitted to the NeurIPS 2025 Workshop GenAI4Health. Conference website: https://aihealth.ischool.utexas.edu/GenAI4HealthNeurips2025/

From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks

Shuzhou Yuan, Zhan Qu, Mario Tawfelis, Michael Färber

机构 * ScaDS.AI and TU Dresden（ScaDS.AI 和 梵高大学） 纠错

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

Rethinking Table Instruction Tuning

Naihao Deng, Rada Mihalcea

机构 * University of Michigan（密歇根大学） 纠错

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

Comments Accepted to ACL 2025 Findings. Updates: 07/2025: We release the TAMA-QWen2.5 and TAMA-QWen3 models. 06/2025: We release our project page: https://lit.eecs.umich.edu/TAMA/, code: https://github.com/MichiganNLP/TAMA, huggingface models: https://huggingface.co/collections/MichiganNLP/tama-684eeb3e7f262362856eccd1, and data: https://huggingface.co/datasets/MichiganNLP/TAMA_Instruct

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Jingyi Zhang, Jiaxing Huang, Huanjin Yao, Shunyu Liu, Xikun Zhang, Shijian Lu, Dacheng Tao

机构 * Nanyang Technological University（南洋理工大学） 纠错

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

Comments ICCV 2025 Camera Ready

Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN

Pengxiang Li, Lu Yin, Shiwei Liu

机构 * Dalian University of Technology（大连理工大学） ； University of Surrey（Surrey大学） ； University of Oxford（牛津大学） 纠错

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

Safeguarding Vision-Language Models: Mitigating Vulnerabilities to Gaussian Noise in Perturbation-based Attacks

Jiawei Wang, Yushen Zuo, Yuanjun Chai, Zhendong Liu, Yicheng Fu, Yichun Feng, Kin-Man Lam

机构 * University of Science and Technology of China（中国科学技术大学） ； The Hong Kong Polytechnic University（香港理工大学） ； University of Washington（华盛顿大学） ； Nanjing University（南京大学） ； Stanford University（斯坦福大学） ； University of Chinese Academy of Sciences（中国科学院大学） 纠错

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

Comments ICCV 2025

The Inter-Intra Modal Measure: A Predictive Lens on Fine-Tuning Outcomes in Vision-Language Models

Laura Niss, Kevin Vogt-Lowell, Theodoros Tsiligkaridis

机构 * MIT Lincoln Laboratory（麻省理工学院林肯实验室） 纠错

专题命中 指令微调 ：language model(title,abstract)；foundation model(abstract)

Comments Accepted to ICCV 2025

GenKnowSub: Improving Modularity and Reusability of LLMs through General Knowledge Subtraction

Mohammadtaha Bagherifard, Sahar Rajabi, Ali Edalat, Yadollah Yaghoobzadeh

机构 * School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran（伊朗德黑兰大学电气与计算机工程学院） ； Tehran Institute for Advanced Studies, Khatam University, Tehran, Iran（德黑兰高级研究学院） 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

Comments Accepted to ACL 2025 (main conference, short paper), 10 pages

Step-wise Adaptive Integration of Supervised Fine-tuning and Reinforcement Learning for Task-Specific LLMs

Jack Chen, Fazhong Liu, Naruto Liu, Yuhan Luo, Erqu Qin, Harry Zheng, Tian Dong, Haojin Zhu, Yan Meng, Xiao Wang

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

Set Pivot Learning: Redefining Generalized Segmentation with Vision Foundation Models

Xinhui Li, Xinyu He, Qiming Hu, Xiaojie Guo

机构 * College of Intelligence and Computing, Tianjin University（智能与计算学院，天津大学） 纠错

专题命中 指令微调 ：foundation model(title,abstract)

VLH: Vision-Language-Haptics Foundation Model

Luis Francisco Moreno Fuentes, Muhammad Haris Khan, Miguel Altamirano Cabrera, Valerii Serpiva, Dmitri Iarchuk, Yara Mahmoud, Issatay Tokmurziyev, Dzmitry Tsetserukou

机构 * Intelligent Space Robotics Laboratory（智能空间机器人实验室） ； Skolkovo Institute of Science and Technology（斯克尔科沃科学与技术研究所） 纠错

专题命中 指令微调 ：foundation model(title,abstract)

Enhancing the Preference Extractor in Multi-turn Dialogues: From Annotating Disasters to Accurate Preference Extraction

Cheng Wang, ziru Liu, Pengcheng Tang, Mingyu Zhang, Quanyu Dai, Yue Zhu

机构 * Huawei Technologies Co., Ltd.（华为技术有限公司） ； Huawei Noah’s Ark Lab（华为诺亚实验室） 纠错

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

Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report

Sajana Weerawardhena, Paul Kassianik, Blaine Nelson, Baturay Saglam, Anu Vellore, Aman Priyanshu, Supriti Vijay, Massimo Aufiero, Arthur Goldblatt, Fraser Burch, Ed Li, Jianliang He, Dhruv Kedia, Kojin Oshiba, Zhouran Yang, Yaron Singer, Amin Karbasi

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

Comments 34 pages - Technical Report

LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation

Juzheng Zhang, Jiacheng You, Ashwinee Panda, Tom Goldstein

机构 * University of Maryland（马里兰大学） ； Tsinghua University（清华大学） 纠错

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

Comments COLM 2025

AlignGuard-LoRA: Alignment-Preserving Fine-Tuning via Fisher-Guided Decomposition and Riemannian-Geodesic Collision Regularization

Amitava Das, Abhilekh Borah, Vinija Jain, Aman Chadha

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

Robust and Efficient Fine-tuning of LLMs with Bayesian Reparameterization of Low-Rank Adaptation

Ayan Sengupta, Vaibhav Seth, Arinjay Pathak, Aastha Verma, Natraj Raman, Sriram Gopalakrishnan, Niladri Chatterjee, Tanmoy Chakraborty

机构 * Indian Institute of Technology Delhi（印度理工学院德里） 纠错

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

Comments The paper is accepted in TMLR'25

BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation

Peijia Qin, Ruiyi Zhang, Pengtao Xie

机构 * University of California, San Diego（加州大学圣迭戈分校） 纠错

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

CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback

Dennis Hein, Zhihong Chen, Sophie Ostmeier, Justin Xu, Maya Varma, Eduardo Pontes Reis, Arne Edward Michalson, Christian Bluethgen, Hyun Joo Shin, Curtis Langlotz, Akshay S Chaudhari

机构 * Stanford University（斯坦福大学） ； University of Oxford（牛津大学） ； University Hospital Zurich, University of Zurich（苏黎世大学医院、苏黎世大学） ； Yongin Severance Hospital, Yonsei University（永临松医院、延世大学） 纠错

专题命中 指令微调 ：language model(abstract)；post-training(abstract)；分类 cs.CL

Comments ACL 2025

Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules

Yilun Liu, Yunpu Ma, Yuetian Lu, Shuo Chen, Zifeng Ding, Volker Tresp

机构 * Technical University of Munich（慕尼黑技术大学） ； Ludwig Maximilian University of Munich（慕尼黑路德维希-马克西米利安大学） ； University of Cambridge（剑桥大学） 纠错

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

Comments This paper is a preprint under review. arXiv admin note: text overlap with arXiv:2411.08212

GLDesigner: Leveraging Multi-Modal LLMs as Designer for Enhanced Aesthetic Text Glyph Layouts

Junwen He, Yifan Wang, Lijun Wang, Huchuan Lu, Jun-Yan He, Chenyang Li, Hanyuan Chen, Jin-Peng Lan, Bin Luo, Yifeng Geng

机构 * Dalian University of Technology（大连理工大学） ； Alibaba Group（阿里巴巴集团） 纠错

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

Comments ACM Multimedia 2025

CSIRO-LT at SemEval-2025 Task 11: Adapting LLMs for Emotion Recognition for Multiple Languages

Jiyu Chen, Necva Bölücü, Sarvnaz Karimi, Diego Mollá, Cécile L. Paris

机构 * CSIRO Data61（CSIRO数据61研究所） ； Macquarie University（麦考瑞大学） 纠错

专题命中 指令微调 ：LLM(abstract)；分类 cs.CL

Comments In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), Vienna, Austria. Association for Computational Linguistics

Learning from Negative Samples in Biomedical Generative Entity Linking

Chanhwi Kim, Hyunjae Kim, Sihyeon Park, Jiwoo Lee, Mujeen Sung, Jaewoo Kang

机构 * Korea University（韩国大学） ； Kyung Hee University（庆熙大学） ； AIGEN Sciences（AIGEN公司） 纠错

专题命中 指令微调 ：preference optimization(abstract)；分类 cs.CL

Comments ACL 2025 (Findings)