How Far Can In-Context Alignment Go? Exploring the State of In-Context
Alignment

How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment

17 June 2024

Yinghao Li

Yang Gao

Papers citing "How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment"

8 / 8 papers shown

Title
Research on Superalignment Should Advance Now with Parallel Optimization of Competence and Conformity HyunJin Kim Xiaoyuan Yi Jing Yao Muhua Huang Jinyeong Bak James Evans Xing Xie 29 0 0 08 Mar 2025
Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements Jingyu Zhang Ahmed Elgohary Ahmed Magooda Daniel Khashabi Benjamin Van Durme 33 2 0 11 Oct 2024
AI Safety in Generative AI Large Language Models: A Survey Jaymari Chua Yun Yvonna Li Shiyi Yang Chen Wang Lina Yao LM&MA 29 12 0 06 Jul 2024
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? Zorik Gekhman G. Yona Roee Aharoni Matan Eyal Amir Feder Roi Reichart Jonathan Herzig 46 98 0 09 May 2024
A Closer Look at the Limitations of Instruction Tuning Sreyan Ghosh Chandra Kiran Reddy Evuru Sonal Kumar Reddy Evuru Deepali Aneja Zeyu Jin R. Duraiswami Dinesh Manocha ALM 69 14 0 03 Feb 2024
Parameter-Efficient Finetuning for Robust Continual Multilingual Learning Kartikeya Badola Shachi Dave Partha P. Talukdar CLL KELM 28 7 0 14 Sep 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 301 11,730 0 04 Mar 2022
ZeRO-Offload: Democratizing Billion-Scale Model Training Jie Ren Samyam Rajbhandari Reza Yazdani Aminabadi Olatunji Ruwase Shuangyang Yang Minjia Zhang Dong Li Yuxiong He MoE 155 399 0 18 Jan 2021