Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages

7 October 2023

Papers citing "Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages"

5 / 5 papers shown

Title
PEO: Improving Bi-Factorial Preference Alignment with Post-Training Policy Extrapolation Yuxuan Liu 35 0 0 03 Mar 2025
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning Gangwei Jiang Caigao Jiang Zhaoyi Li Siqiao Xue Jun-ping Zhou Linqi Song Defu Lian Yin Wei CLL MU 53 0 0 16 Feb 2025
Improving Instruction-Following in Language Models through Activation Steering Alessandro Stolfo Vidhisha Balachandran Safoora Yousefi Eric Horvitz Besmira Nushi LLMSV 49 13 0 15 Oct 2024
KTO: Model Alignment as Prospect Theoretic Optimization Kawin Ethayarajh Winnie Xu Niklas Muennighoff Dan Jurafsky Douwe Kiela 159 437 0 02 Feb 2024
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 301 11,730 0 04 Mar 2022