Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs

16 November 2023

Papers citing "Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs"

7 / 7 papers shown

Title
ECLAIR: Enhanced Clarification for Interactive Responses in an Enterprise AI Assistant John Murzaku Zifan Liu Vaishnavi Muppala Md Mehrab Tanjim Xiang Chen Yunyao Li 41 0 0 19 Mar 2025
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 51 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 63 0 0 27 Nov 2024
Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions Michael J.Q. Zhang W. Bradley Knox Eunsol Choi 33 3 0 17 Oct 2024
Comparing Apples to Oranges: LLM-powered Multimodal Intention Prediction in an Object Categorization Task Hassan Ali Philipp Allgeuer Stefan Wermter 29 1 0 12 Apr 2024
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 48 87 0 27 Apr 2023
BBQ: A Hand-Built Bias Benchmark for Question Answering Alicia Parrish Angelica Chen Nikita Nangia Vishakh Padmakumar Jason Phang Jana Thompson Phu Mon Htut Sam Bowman 202 364 0 15 Oct 2021