语言大模型 / LLM

Jailbreaking Large Language Models Through Content Concretization

Johan Wahréus, Ahmed Hussain, Panos Papadimitratos

机构 * Networked Systems Security (NSS) Group（网络系统安全组） ； KTH Royal Institute of Technology（皇家理工学院） 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.AI

Comments Accepted for presentation in the Conference on Game Theory and AI for Security (GameSec) 2025

Enhancing LLM-Based Social Bot via an Adversarial Learning Framework

Fanqi Kong, Xiaoyuan Zhang, Xinyu Chen, Yaodong Yang, Song-Chun Zhu, Xue Feng

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

Conan-Embedding-v2: Training an LLM from Scratch for Text Embeddings

Shiyu Li, Yang Tang, Ruijie Liu, Shi-Zhe Chen, Xi Chen

机构 * Basic Algorithm Center, PCG, Tencent（基础算法中心、PCG、腾讯） 纠错

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

Comments EMNLP 2025 Oral

GTA: Supervised-Guided Reinforcement Learning for Text Classification with Large Language Models

Min Zeng, Jingfei Sun, Xueyou Luo, Caiquan Liu, Shiqi Zhang, Li Xie, Xiaoxin Chen

机构 * vivo AI Lab（vivo人工智能实验室） 纠错

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

Comments Accepted at EMNLP 2025

ECG-aBcDe: Overcoming Model Dependence, Encoding ECG into a Universal Language for Any LLM

Yong Xia, Jingxuan Li, YeTeng Sun, Jiarui Bu

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

Comments 14pages, 6 figures

LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning

Yining Huang, Bin Li, Keke Tang, Meilian Chen

机构 * School of Politics and Public Administration, South China Normal University（华南师范大学政治与公共管理学院） ； Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences（中国科学院深圳先进技术研究所） ； University of Chinese Academy of Sciences（中国科学院大学） ； Shenyang institute of computing technology, Chinese academy of sciences（中国科学院沈阳计算技术研究所） 纠错

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

Comments 12 pages

Profiling LoRA/QLoRA Fine-Tuning Efficiency on Consumer GPUs: An RTX 4060 Case Study

MSR Avinash

机构 * MSR Avinash（MSR） ； Juspay 纠错

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

Comments 8 pages, 3 figures, 2 tables. Primary category: cs.LG (Machine Learning); secondary: cs.AI (Artificial Intelligence). LaTeX source with figures included

RingMo-Aerial: An Aerial Remote Sensing Foundation Model With Affine Transformation Contrastive Learning

Wenhui Diao, Haichen Yu, Kaiyue Kang, Tong Ling, Di Liu, Yingchao Feng, Hanbo Bi, Libo Ren, Xuexue Li, Yongqiang Mao, Xian Sun

机构 * Aerospace Information Research Institute, Chinese Academy of Sciences（中国科学院航空信息研究所） ； University of Chinese Academy of Sciences（中国科学院大学） ； Key Laboratory of Target Cognition and Application Technology (TCAT), Aerospace Information Research Institute, Chinese Academy of Sciences（目标认知与应用技术重点实验室（TCAT）） ； Department of Electronic Engineering, Tsinghua University（清华大学电子工程系） 纠错

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

Defense-to-Attack: Bypassing Weak Defenses Enables Stronger Jailbreaks in Vision-Language Models

Yunhan Zhao, Xiang Zheng, Xingjun Ma

机构 * Fudan University（复旦大学） ； City University of Hong Kong（香港城市大学） 纠错

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

Comments This work has been submitted to the IEEE for possible publication

Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach

Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang

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

LLMs for energy and macronutrients estimation using only text data from 24-hour dietary recalls: a parameter-efficient fine-tuning experiment using a 10-shot prompt

Rodrigo M Carrillo-Larco

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

Comments https://github.com/rodrigo-carrillo/LLMs-Macronutrient-Estimation-NHANES-Adolescents

When Inverse Data Outperforms: Exploring the Pitfalls of Mixed Data in Multi-Stage Fine-Tuning

Mengyi Deng, Xin Li, Tingyu Zhu, Zhicheng Yang, Zhijiang Guo, Wei Wang

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

Towards General Agentic Intelligence via Environment Scaling

Runnan Fang, Shihao Cai, Baixuan Li, Jialong Wu, Guangyu Li, Wenbiao Yin, Xinyu Wang, Xiaobin Wang, Liangcai Su, Zhen Zhang, Shibin Wu, Zhengwei Tao, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou

机构 * Tongyi Lab（通义实验室） ； Alibaba Group（阿里巴巴集团） 纠错

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

Comments https://tongyi-agent.github.io/blog/introducing-tongyi-deep-research/

Benchmarking and Improving LVLMs on Event Extraction from Multimedia Documents

Fuyu Xing, Zimu Wang, Wei Wang, Haiyang Zhang

机构 * School of Advanced Technology, Xi’an Jiaotong-Liverpool University（先进技术学院，西安交通大学利物浦大学） 纠错

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

Comments Accepted at INLG 2025. Camera-ready version

A Systematic Evaluation of Parameter-Efficient Fine-Tuning Methods for the Security of Code LLMs

Kiho Lee, Jungkon Kim, Doowon Kim, Hyoungshick Kim

机构 * Samsung Research（三星研究院） ； University of Tennessee, Knoxville（田纳西大学 Knoxville分校） ； Sungkyunkwan University（成均馆大学） 纠错

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

Comments 25 pages

Lego-Edit: A General Image Editing Framework with Model-Level Bricks and MLLM Builder

Qifei Jia, Yu Liu, Yajie Chai, Xintong Yao, Qiming Lu, Yasen Zhang, Runyu Shi, Ying Huang, Guoquan Zhang

机构 * Xiaomi Corporation Beijing, China（小米公司北京） 纠错

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