语言大模型 / LLM

WILBUR: Adaptive In-Context Learning for Robust and Accurate Web Agents

Michael Lutz, Arth Bohra, Manvel Saroyan, Artem Harutyunyan, Giovanni Campagna

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

Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data

Parth Patwa, Simone Filice, Zhiyu Chen, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi

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

Comments Accepted at LREC-COLING 2024

A Review of Multi-Modal Large Language and Vision Models

Kilian Carolan, Laura Fennelly, Alan F. Smeaton

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

Comments 33 pages, 1 figure

Bailong: Bilingual Transfer Learning based on QLoRA and Zip-tie Embedding

Lung-Chuan Chen, Zong-Ru Li

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

Supervisory Prompt Training

Jean Ghislain Billa, Min Oh, Liang Du

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

LeTI: Learning to Generate from Textual Interactions

Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji

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

Comments NAACL 2024 Findings

FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications

Thanos Konstantinidis, Giorgos Iacovides, Mingxue Xu, Tony G. Constantinides, Danilo Mandic

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

What Was Your Prompt? A Remote Keylogging Attack on AI Assistants

Roy Weiss, Daniel Ayzenshteyn, Guy Amit, Yisroel Mirsky

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

ACT-MNMT Auto-Constriction Turning for Multilingual Neural Machine Translation

Shaojie Dai, Xin Liu, Ping Luo, Yue Yu

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

Can LLMs Generate Architectural Design Decisions? -An Exploratory Empirical study

Rudra Dhar, Karthik Vaidhyanathan, Vasudeva Varma

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

Comments This paper has been accepted to IEEE ICSA 2024 (Main Track - Research Track)

On the Multi-turn Instruction Following for Conversational Web Agents

Yang Deng, Xuan Zhang, Wenxuan Zhang, Yifei Yuan, See-Kiong Ng, Tat-Seng Chua

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

MoRAL: MoE Augmented LoRA for LLMs' Lifelong Learning

Shu Yang, Muhammad Asif Ali, Cheng-Long Wang, Lijie Hu, Di Wang

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

LLMs as Visual Explainers: Advancing Image Classification with Evolving Visual Descriptions

Songhao Han, Le Zhuo, Yue Liao, Si Liu

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

MultiWay-Adapater: Adapting large-scale multi-modal models for scalable image-text retrieval

Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon Camarasa

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

Outlier Dimensions Encode Task-Specific Knowledge

William Rudman, Catherine Chen, Carsten Eickhoff

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

Comments Camera-ready version for EMNLP 2023

Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum

Shen Gao, Zhengliang Shi, Minghang Zhu, Bowen Fang, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren

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 by AAAI 2024

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