Can NLP Models Ídentify', 'Distinguish', and 'Justify' Questions that Don't have a Definitive Answer?

8 September 2023

Papers citing "Can NLP Models Ídentify', 'Distinguish', and 'Justify' Questions that Don't have a Definitive Answer?"

7 / 7 papers shown

Title
Cannot or Should Not? Automatic Analysis of Refusal Composition in IFT/RLHF Datasets and Refusal Behavior of Black-Box LLMs Alexander von Recum Christoph Schnabl Gabor Hollbeck Silas Alberti Philip Blinde Marvin von Hagen 92 2 0 22 Dec 2024
Self-Evaluation Improves Selective Generation in Large Language Models Jie Jessie Ren Yao-Min Zhao Tu Vu Peter J. Liu Balaji Lakshminarayanan ELM 28 34 0 14 Dec 2023
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA Neeraj Varshney Chitta Baral 39 13 0 02 May 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 339 12,003 0 04 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 213 1,661 0 15 Oct 2021
Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering Najoung Kim Ellie Pavlick Burcu Karagol Ayan Deepak Ramachandran 70 43 0 02 Jan 2021
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 224 1,208 0 12 Jun 2017