语言大模型 / LLM

BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning

Ruyang Liu, Chen Li, Yixiao Ge, Ying Shan, Thomas H. Li, Ge Li

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

Selective Prompting Tuning for Personalized Conversations with LLMs

Qiushi Huang, Xubo Liu, Tom Ko, Bo Wu, Wenwu Wang, Yu Zhang, Lilian Tang

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

Comments Accepted to ACL 2024 findings

InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models

Xunguang Wang, Zhenlan Ji, Pingchuan Ma, Zongjie Li, Shuai Wang

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

LESS: Selecting Influential Data for Targeted Instruction Tuning

Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, Sanjeev Arora, Danqi Chen

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

Comments ICML 2024; Code and data are available at https://github.com/princeton-nlp/LESS

Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Bochuan Cao, Yuanpu Cao, Lu Lin, Jinghui Chen

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

Comments 19 Pages, 5 Figures, 8 Tables. Accepted by ACL 2024

Contrastive Instruction Tuning

Tianyi Lorena Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen

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

Comments ACL 2024 Findings

BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Yifei Wang, Dizhan Xue, Shengjie Zhang, Shengsheng Qian

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

Comments Accepted by ACL 2024

VILA: On Pre-training for Visual Language Models

Ji Lin, Hongxu Yin, Wei Ping, Yao Lu, Pavlo Molchanov, Andrew Tao, Huizi Mao, Jan Kautz, Mohammad Shoeybi, Song Han

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

Comments CVPR 2024

Making Language Models Better Tool Learners with Execution Feedback

Shuofei Qiao, Honghao Gui, Chengfei Lv, Qianghuai Jia, Huajun Chen, Ningyu Zhang

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

Comments NAACL 2024

Self-Refinement of Language Models from External Proxy Metrics Feedback

Keshav Ramji, Young-Suk Lee, Ramón Fernandez Astudillo, Md Arafat Sultan, Tahira Naseem, Asim Munawar, Radu Florian, Salim Roukos

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

Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models

Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kuehnberger

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

LLM-Enhanced Data Management

Xuanhe Zhou, Xinyang Zhao, Guoliang Li

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

YODA: Teacher-Student Progressive Learning for Language Models

Jianqiao Lu, Wanjun Zhong, Yufei Wang, Zhijiang Guo, Qi Zhu, Wenyong Huang, Yanlin Wang, Fei Mi, Baojun Wang, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu

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

Comments 14 pages, 4 figures, 3 tables

Exploring the Effectiveness of Instruction Tuning in Biomedical Language Processing

Omid Rohanian, Mohammadmahdi Nouriborji, David A. Clifton

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

VTimeLLM: Empower LLM to Grasp Video Moments

Bin Huang, Xin Wang, Hong Chen, Zihan Song, Wenwu Zhu

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

Vision-Language Instruction Tuning: A Review and Analysis

Chen Li, Yixiao Ge, Dian Li, Ying Shan

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

Comments 34 pages, 6 figures

Fine-tuning Language Models for Factuality

Katherine Tian, Eric Mitchell, Huaxiu Yao, Christopher D. Manning, Chelsea Finn

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

Language Model-In-The-Loop: Data Optimal Approach to Learn-To-Recommend Actions in Text Games

Arjun Vaithilingam Sudhakar, Prasanna Parthasarathi, Janarthanan Rajendran, Sarath Chandar

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

Learning to Generate Better Than Your LLM

Jonathan D. Chang, Kiante Brantley, Rajkumar Ramamurthy, Dipendra Misra, Wen Sun

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

Comments 23 pages, 5 figures, 7 tables, 4 algorithms

Reflexion: Language Agents with Verbal Reinforcement Learning

Noah Shinn, Federico Cassano, Edward Berman, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao

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

Comments v4 contains a few additional experiments

FireAct: Toward Language Agent Fine-tuning

Baian Chen, Chang Shu, Ehsan Shareghi, Nigel Collier, Karthik Narasimhan, Shunyu Yao

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

Comments Code, data, and models are available at https://fireact-agent.github.io

MedMine: Examining Pre-trained Language Models on Medication Mining

Haifa Alrdahi, Lifeng Han, Hendrik Šuvalov, Goran Nenadic

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

Comments Open Research Project. 7 pages, 1 figure, 5 tables

LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?

David Glukhov, Ilia Shumailov, Yarin Gal, Nicolas Papernot, Vardan Papyan

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

PromptNER: Prompting For Named Entity Recognition

Dhananjay Ashok, Zachary C. Lipton

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

Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Xinli Yu, Zheng Chen, Yuan Ling, Shujing Dong, Zongyi Liu, Yanbin Lu

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

Plan, Eliminate, and Track -- Language Models are Good Teachers for Embodied Agents

Yue Wu, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Yuanzhi Li, Tom Mitchell, Shrimai Prabhumoye

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

Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor

Or Honovich, Thomas Scialom, Omer Levy, Timo Schick

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

Comments 18 pages, 7 figures

Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models

Victor S. Bursztyn, David Demeter, Doug Downey, Larry Birnbaum

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

Comments Accepted to findings of EMNLP 2022. Data and code available at https://github.com/vbursztyn/compositional-fine-tuning

How Reasoning Evolves from Post-Training Data: An Empirical Study Using Chess

推理如何从训练数据中演变：使用国际象棋的实证研究

Lucas Dionisopoulos, Nicklas Majamaki, Prithviraj Ammanabrolu

机构 * Department of Computer Science and Engineering, University of California San Diego, San Diego, United States（计算机科学与工程系，加州大学圣地亚哥分校，圣地亚哥，美国） 纠错

专题命中 指令微调 ：post-training(title)；SFT(abstract,abstract_cn)；language model(abstract,comments)；分类 cs.AI、cs.LG

AI总结 研究语言模型推理从监督微调到强化学习的演变，发现直接预测最佳走法的微调能提升性能，但强化学习阶段导致不一致推理，而多步轨迹训练则能获得更稳定的推理。

Comments Accepted at ICML 2026. An earlier version appeared at the NeurIPS 2025 Foundations of Reasoning in Language Models (FoRLM) Workshop (Oral)

LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning

Federico Cocchi, Nicholas Moratelli, Davide Caffagni, Sara Sarto, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara

机构 * University of Modena and Reggio Emilia（摩德纳和雷吉奥艾米利亚大学） ； University of Pisa（比萨大学） ； IIT-CNR（意大利国家研究 council（IIT）） 纠错

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

Comments ICCV 2025 Workshop on What is Next in Multimodal Foundation Models