Self-Specialization: Uncovering Latent Expertise within Large Language Models

29 September 2023

Papers citing "Self-Specialization: Uncovering Latent Expertise within Large Language Models"

7 / 7 papers shown

Title
Aligning Instruction Tuning with Pre-training Yiming Liang Tianyu Zheng Xinrun Du Ge Zhang Qingbin Liu ... Zhaoxiang Zhang Wenhao Huang Jiajun Zhang Xiang Yue Jiajun Zhang 96 1 0 16 Jan 2025
Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models Junmo Kang Wei Xu Alan Ritter 47 15 0 02 May 2023
Poisoning Language Models During Instruction Tuning Alexander Wan Eric Wallace Sheng Shen Dan Klein SILM 106 124 0 01 May 2023
BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing Jason Alan Fries Leon Weber Natasha Seelam Gabriel Altay Debajyoti Datta ... Minh Chien Vu Trishala Neeraj Jonas Golde Albert Villanova del Moral Benjamin Beilharz LM&MA 103 46 0 30 Jun 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 402 12,150 0 04 Mar 2022
Pre-train or Annotate? Domain Adaptation with a Constrained Budget Fan Bai Alan Ritter Wei Xu 66 31 0 10 Sep 2021
PubMedQA: A Dataset for Biomedical Research Question Answering Qiao Jin Bhuwan Dhingra Zhengping Liu William W. Cohen Xinghua Lu 243 831 0 13 Sep 2019