语言大模型 / LLM

Assessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models

Nghia Bui, Guergana Savova, Lijing Wang

机构 * New Jersey Institute of Technology（新泽西理工学院） ； Boston Children’s Hospital and Harvard Medical School（波士顿儿童医院和哈佛医学院） 纠错

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

Comments 7 pages, 5 tables, 3 figures. Accepted at IJCNLP 2025. This is the final, peer-reviewed version of the work, which supersedes and extends the unauthorized draft previously posted as arXiv:2503.07329

Kastor: Fine-tuned Small Language Models for Shape-based Active Relation Extraction

Ringwald Celian, Gandon Fabien, Faron Catherine, Michel Franck, Abi Akl Hanna

机构 * Université Côte d’Azur（蔚蓝海岸大学） ； Inria（法国国家信息与自动化技术研究所） ； CNRS（法国国家科学研究中心） ； I3S（信息科学与系统研究所） ； Data ScienceTech Institute（数据科学技术研究所） 纠错

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

Comments Accepted at ESWC 2025

Journal ref The Semantic Web: 22nd European Semantic Web Conference, ESWC 2025, Portoroz, Slovenia, June 1 5, 2025, Proceedings, Part I

Analysis of AdvFusion: Adapter-based Multilingual Learning for Code Large Language Models

Amirreza Esmaeili, Fahd Seddik, Yongyi Ji, Fatemeh Fard, Fuxiang Chen

机构 * University of British Columbia（不列颠哥伦比亚大学） ； University of Leicester（利兹大学） 纠错

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

Forecast2Anomaly (F2A): Adapting Multivariate Time Series Foundation Models for Anomaly Prediction

Atif Hassan, Tarun Kumar, Ashish Mishra, Sergey Serebryakov, Satish Kumar Mopur, Phanidhar Koganti, Murthy Chelankuri, Ramanagopal Vogety, Suparna Bhattacharya, Martin Foltin

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

From Insight to Exploit: Leveraging LLM Collaboration for Adaptive Adversarial Text Generation

Najrin Sultana, Md Rafi Ur Rashid, Kang Gu, Shagufta Mehnaz

机构 * The Pennsylvania State University（宾夕法尼亚州立大学） ； Dartmouth College（达特茅斯学院） 纠错

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

Comments Findings of the Association for Computational Linguistics: EMNLP 2025 (camera-ready)

Revisiting semi-supervised learning in the era of foundation models

Ping Zhang, Zheda Mai, Quang-Huy Nguyen, Wei-Lun Chao

机构 * The Ohio State University（俄亥俄州立大学） 纠错

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

Comments The paper has been accepted to NeurIPS 2025. Ping Zhang and Zheda Mai contributed equally to this work

Knowledge-Augmented Question Error Correction for Chinese Question Answer System with QuestionRAG

Longpeng Qiu, Ting Li, Shuai Mao, Nan Yang, Xiaohui Yan

机构 * University of Chinese Academy of Sciences（中国科学院大学） ； Huawei Technologies Co., Ltd.（华为技术有限公司） 纠错

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

Comments EMNLP2025 Industry Track

Computational Imaging Meets LLMs: Zero-Shot IDH Mutation Prediction in Brain Gliomas

Syed Muqeem Mahmood, Hassan Mohy-ud-Din

机构 * School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan（科学与工程学院，拉合尔管理科学大学，巴基斯坦拉合尔） 纠错

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

Comments 5 pages, 1 figure, 3 tables

HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs

Saleh Ashkboos, Mahdi Nikdan, Soroush Tabesh, Roberto L. Castro, Torsten Hoefler, Dan Alistarh

机构 * ETH Zurich（苏黎世联邦理工学院） ； ISTAustria（奥地利科学院） ； Neural Magic 纠错

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

Comments 19 pages, 6 figures

Death by a Thousand Prompts: Open Model Vulnerability Analysis

Amy Chang, Nicholas Conley, Harish Santhanalakshmi Ganesan, Adam Swanda

机构 * Cisco AI Threat Research & Security（思科AI威胁研究与安全） 纠错

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

Test-time Adaptation of Tiny Recursive Models

Ronan Killian McGovern

机构 * Trelis LTD（Trelis有限公司） 纠错

专题命中 指令微调 ：post-training(abstract)；分类 cs.AI、cs.LG

Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA

Shuangyi Chen, Yuanxin Guo, Yue Ju, Harik Dalal, Zhongwen Zhu, Ashish Khisti

机构 * University of Toronto（多伦多大学） ； Ericsson-GAIA Montréal（爱立信-GAIA蒙特利尔） 纠错

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

Comments Accepted to NeurIPS 2025

Journal ref https://openreview.net/forum?id=e8DrPuJekZ&referrer=%5BAuthor%20Console%5D(%2Fgroup%3Fid%3DNeurIPS.cc%2F2025%2FConference%2FAuthors%23your-submissions)

Modelling the Solar Cycle Nonlinearities into the Algebraic Approach

Mohammed H. Talafha

专题命中 指令微调 ：SFT(abstract)

Comments 22 pages, 10 figures; Solar Physics Journal, Accepted: 29 October 2025

Generalizing Shape-from-Template to Topological Changes

Kevin Manogue, Tomasz M Schang, Dilara Kuş, Jonas Müller, Stefan Zachow, Agniva Sengupta

专题命中 指令微调 ：SFT(abstract)

Comments Accepted for publication at Smart Tools and Applications in Graphics (STAG), Genoa, Italy (2025)