语言大模型 / LLM

Benchmarking and Analyzing In-context Learning, Fine-tuning and Supervised Learning for Biomedical Knowledge Curation: a focused study on chemical entities of biological interest

Emily Groves, Minhong Wang, Yusuf Abdulle, Holger Kunz, Jason Hoelscher-Obermaier, Ronin Wu, Honghan Wu

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

Comments 26 pages, 5 figures, 14 tables

Forcing Generative Models to Degenerate Ones: The Power of Data Poisoning Attacks

Shuli Jiang, Swanand Ravindra Kadhe, Yi Zhou, Ling Cai, Nathalie Baracaldo

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

Comments 19 pages, 6 figures. Published at NeurIPS 2023 Workshop on Backdoors in Deep Learning: The Good, the Bad, and the Ugly

Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration

Meihao Fan, Xiaoyue Han, Ju Fan, Chengliang Chai, Nan Tang, Guoliang Li, Xiaoyong Du

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

Comments 14 pages, 7 figures

When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks

Hao Peng, Xiaozhi Wang, Jianhui Chen, Weikai Li, Yunjia Qi, Zimu Wang, Zhili Wu, Kaisheng Zeng, Bin Xu, Lei Hou, Juanzi Li

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

Comments Under review

Multi-dimensional data refining strategy for effective fine-tuning LLMs

Thanh Nguyen Ngoc, Quang Nhat Tran, Arthur Tang, Bao Nguyen, Thuy Nguyen, Thanh Pham

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

BOOST: Harnessing Black-Box Control to Boost Commonsense in LMs' Generation

Yufei Tian, Felix Zhang, Nanyun Peng

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

Comments EMNLP 2023

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Young-Suk Lee, Md Arafat Sultan, Yousef El-Kurdi, Tahira Naseem Asim Munawar, Radu Florian, Salim Roukos, Ramón Fernandez Astudillo

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

Journal ref EMNLP 2023

Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques

Junxiao Shen, John J. Dudley, Jingyao Zheng, Bill Byrne, Per Ola Kristensson

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

Lawyer LLaMA Technical Report

Quzhe Huang, Mingxu Tao, Chen Zhang, Zhenwei An, Cong Jiang, Zhibin Chen, Zirui Wu, Yansong Feng

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

Skill-Based Few-Shot Selection for In-Context Learning

Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou

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

Comments Accepted by EMNLP 2023 main conference

SCALE: Synergized Collaboration of Asymmetric Language Translation Engines

Xin Cheng, Xun Wang, Tao Ge, Si-Qing Chen, Furu Wei, Dongyan Zhao, Rui Yan

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

DRG-LLaMA : Tuning LLaMA Model to Predict Diagnosis-related Group for Hospitalized Patients

Hanyin Wang, Chufan Gao, Christopher Dantona, Bryan Hull, Jimeng Sun

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

Resolving References in Visually-Grounded Dialogue via Text Generation

Bram Willemsen, Livia Qian, Gabriel Skantze

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

Comments Published at SIGDIAL 2023

Layout and Task Aware Instruction Prompt for Zero-shot Document Image Question Answering

Wenjin Wang, Yunhao Li, Yixin Ou, Yin Zhang

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

Comments Add the LATIN-Tuning for Alapca. Code is available at https://github.com/WenjinW/LATIN-Prompt

Imaginations of WALL-E : Reconstructing Experiences with an Imagination-Inspired Module for Advanced AI Systems

Zeinab Sadat Taghavi, Soroush Gooran, Seyed Arshan Dalili, Hamidreza Amirzadeh, Mohammad Jalal Nematbakhsh, Hossein Sameti

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

Comments 18 pages,

SimplyRetrieve: A Private and Lightweight Retrieval-Centric Generative AI Tool

Youyang Ng, Daisuke Miyashita, Yasuto Hoshi, Yasuhiro Morioka, Osamu Torii, Tomoya Kodama, Jun Deguchi

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

Comments 12 pages, 6 figures

MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning

Zhenwen Liang, Dian Yu, Xiaoman Pan, Wenlin Yao, Qingkai Zeng, Xiangliang Zhang, Dong Yu

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

Becoming self-instruct: introducing early stopping criteria for minimal instruct tuning

Waseem AlShikh, Manhal Daaboul, Kirk Goddard, Brock Imel, Kiran Kamble, Parikshith Kulkarni, Melisa Russak

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

Speech-to-Text Adapter and Speech-to-Entity Retriever Augmented LLMs for Speech Understanding

Mingqiu Wang, Izhak Shafran, Hagen Soltau, Wei Han, Yuan Cao, Dian Yu, Laurent El Shafey

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

Exploring Zero and Few-shot Techniques for Intent Classification

Soham Parikh, Quaizar Vohra, Prashil Tumbade, Mitul Tiwari

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

Comments ACL 2023 Industry Track. 8 pages, 2 figures, 5 tables

CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors

Peng Li, Tianxiang Sun, Qiong Tang, Hang Yan, Yuanbin Wu, Xuanjing Huang, Xipeng Qiu

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

Comments Accepted to ACL 2023 (main conference). Code and data are publicly available at https://github.com/dasepli/CodeIE

The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges

Qianqian Xie, Weiguang Han, Yanzhao Lai, Min Peng, Jimin Huang

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

Comments 13 pages

LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks

Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee

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

Comments Accepted at NeurIPS 2022

Reflective Translation: Improving Low-Resource Machine Translation via Structured Self-Reflection

反思性翻译：通过结构化自我反思改进低资源机器翻译

Nicholas Cheng

机构 * Independent Researcher（独立研究者） 纠错

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

AI总结 本文提出反思性翻译框架，通过结构化自我反思提升低资源语言的机器翻译质量，实验表明其在BLEU和COMET评分上均有显著提升。

Comments 12 pages, 3 figures, 6 tables. Accepted to the NeurIPS 2025 Workshop on Multilingual Representation Learning (Mexico City) and the AAAI 2025 Workshop on Language Models for Under-Resourced Communities (LM4UC). Code and data available at: https://github.com/Nickcheng123/reflective-translation-mt

Modality-Specialized Synergizers for Interleaved Vision-Language Generalists

Zhiyang Xu, Minqian Liu, Ying Shen, Joy Rimchala, Jiaxin Zhang, Qifan Wang, Yu Cheng, Lifu Huang

机构 * Virginia Tech（弗吉尼亚理工大学） ； Intuit AI Research（Intuit AI研究院） ； Meta AI ； The Chinese University of Hong Kong（香港中文大学） ； University of California, Davis（加州大学戴维斯分校） 纠错

专题命中 指令微调 ：instruction tuning(abstract,comments)；language model(abstract)；pretraining(abstract)；分类 cs.CL

Comments 8 Pages, interleaved instruction tuning, parameter-efficient tuning, image understanding, image generation

Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Ariel N. Lee, Cole J. Hunter, Nataniel Ruiz

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

Comments Workshop on Instruction Tuning and Instruction Following at NeurIPS 2023

Tabular Foundation Models for Multi-View Information Cascade Popularity Prediction

面向多视图信息级联流行度预测的表格基础模型

Wenting Zhu, Chenghua Gong, Sanchuan Guo, Chaozhuo Li, Yueyue Zhang, Xi Zhang

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

AI总结 该研究针对信息级联流行度预测的现有局限，提出双分支设计的TFM4POP框架，结合表格基础模型与神经ODE编码器，通过参数高效微调实现多视图建模，在多数据集上优于现有方法。

Pedagogical AI in Mental Health: A Tri-Stream Fine-Tuned LLM Framework for Automated Clinical Supervision and Risk Triage

心理健康领域的教学式AI：用于自动化临床监督与风险分诊的三通路微调大语言模型框架

Shreeya Sharma, Ravish Gupta, Saket Kumar, Abhishek Aggarwal

机构 * Microsoft（微软） ； BigCommerce ； University at Buffalo, The State University of New York（纽约州立大学布法罗分校） ； Amazon（亚马逊） 纠错

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

AI总结 针对精神医疗的监督缺口，提出三通路微调Mistral-7B-instruct框架，实现自动化临床监督与风险分诊，提升效率并解决冷启动问题。

Comments 14 pages, 1 figure, 2 tables. Accepted for publication in AICTC 2026, Lecture Notes in Networks and Systems, vol. 2165, Springer

PerFact: Perception-Derived Fact Prompting for 3D Brain MRI Report Generation

PerFact：用于3D脑部MRI报告生成的感知衍生事实提示方法

Jianyu Sun, Zhenxuan Zhang, Guang Yang, Peter J. Lally

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

AI总结 该研究针对3D脑部MRI报告生成，提出PerFact方法，以上游3D分割分类输出的结构化事实提示LoRA适配的视觉语言模型，证实grounding信息是报告质量的主导因素而非模型选择。

A Plug-and-Play 2D Motion Interface for Real-World Motion Language Models

用于真实世界运动语言模型的即插即用二维运动接口

Kaname Yokoyama, Norimichi Ukita

机构 * Toyota Technological Institute（丰田工业大学） 纠错

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

AI总结 针对MoLMs依赖三维运动输入、真实世界适用性受限的问题，提出即插即用二维运动接口，经实验验证其性能接近三维输入，优于从零训练的二维输入方案，为MoLMs部署提供实用途径。

Comments Accepted to HCMIW at ECCV 2026 (Oral Presentation). Code and demo: https://github.com/irajisamurai/2D-Motion-Interface