Aligning Language Models to Explicitly Handle Ambiguity

18 April 2024

Papers citing "Aligning Language Models to Explicitly Handle Ambiguity"

6 / 6 papers shown

Title
Semantic Volume: Quantifying and Detecting both External and Internal Uncertainty in LLMs Xiaomin Li Zhou Yu Ziji Zhang Yingying Zhuang S. Narayanan Sadagopan Anurag Beniwal HILM 58 0 0 28 Feb 2025
DRS: Deep Question Reformulation With Structured Output Zhecheng Li Y. Wang Bryan Hooi Yujun Cai Nanyun Peng Kai-Wei Chang KELM 71 0 0 27 Nov 2024
LESS: Selecting Influential Data for Targeted Instruction Tuning Mengzhou Xia Sadhika Malladi Suchin Gururangan Sanjeev Arora Danqi Chen 80 180 0 06 Feb 2024
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA Dongryeol Lee Segwang Kim Minwoo Lee Hwanhee Lee Joonsuk Park Sang-Woo Lee Kyomin Jung UQLM 57 11 0 23 May 2023
We're Afraid Language Models Aren't Modeling Ambiguity Alisa Liu Zhaofeng Wu Julian Michael Alane Suhr Peter West Alexander Koller Swabha Swayamdipta Noah A. Smith Yejin Choi 63 87 0 27 Apr 2023
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 303 11,730 0 04 Mar 2022