Reformulating Domain Adaptation of Large Language Models as
Adapt-Retrieve-Revise

Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise

5 October 2023

Sadao Kurohashi

Papers citing "Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise"

10 / 10 papers shown

Title
Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Benign John Ihugba Afsana Nasrin Ling Wu Lin Li Lijun Qian Xishuang Dong 36 0 0 17 Apr 2025
DoPAMine: Domain-specific Pre-training Adaptation from seed-guided data Mining Vinayak Arannil Neha Narwal Sourav Sanjukta Bhabesh Sai Nikhil Thirandas Darren Yow-Bang Wang Graham Horwood Alex Anto Chirayath Gouri Pandeshwar 41 0 0 30 Sep 2024
Do LLMs Really Adapt to Domains? An Ontology Learning Perspective Huu Tan Mai Cuong Xuan Chu Heiko Paulheim 30 6 0 29 Jul 2024
Continual Learning for Large Language Models: A Survey Tongtong Wu Linhao Luo Yuan-Fang Li Shirui Pan Thuy-Trang Vu Gholamreza Haffari CLL LRM KELM 30 102 0 02 Feb 2024
Large Language Models in Cybersecurity: State-of-the-Art Farzad Nourmohammadzadeh Motlagh Mehrdad Hajizadeh Mehryar Majd Pejman Najafi Feng Cheng Christoph Meinel ELM 49 43 0 30 Jan 2024
From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning Alexandre Alcoforado Thomas Palmeira Ferraz Lucas Hideki Okamura Israel Campos Fama Arnold Moya Lavado Bárbara Dias Bueno Bruno Veloso Anna Helena Reali Costa 21 1 0 24 Jan 2024
VLLaVO: Mitigating Visual Gap through LLMs Shuhao Chen Yulong Zhang Weisen Jiang Jiangang Lu Yu Zhang VLM 54 2 0 06 Jan 2024
Automating Governing Knowledge Commons and Contextual Integrity (GKC-CI) Privacy Policy Annotations with Large Language Models Jake Chanenson Madison Pickering Noah J. Apthorpe 22 0 0 03 Nov 2023
Generate rather than Retrieve: Large Language Models are Strong Context Generators W. Yu Dan Iter Shuohang Wang Yichong Xu Mingxuan Ju Soumya Sanyal Chenguang Zhu Michael Zeng Meng Jiang RALM AIMat 229 321 0 21 Sep 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 238 806 0 14 Oct 2021