Robustifying Multi-hop QA through Pseudo-Evidentiality Training

Robustifying Multi-hop QA through Pseudo-Evidentiality Training

7 July 2021

Seung-won Hwang

Papers citing "Robustifying Multi-hop QA through Pseudo-Evidentiality Training"

12 / 12 papers shown

Title
Why LLMs Hallucinate, and How to Get (Evidential) Closure: Perceptual, Intensional, and Extensional Learning for Faithful Natural Language Generation Adam Bouyamourn 108 15 0 23 Oct 2023
Single Sequence Prediction over Reasoning Graphs for Multi-hop QA Gowtham Ramesh Makesh Narsimhan Sreedhar Junjie Hu 29 7 0 01 Jul 2023
Retrieval-Based Transformer for Table Augmentation Michael R. Glass Xueqing Wu Ankita Rajaram Naik Gaetano Rossiello A. Gliozzo RALM LMTD 32 6 0 20 Jun 2023
Evidentiality-aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering Yongho Song Dahyun Lee Myungha Jang Seung-won Hwang Kyungjae Lee Dongha Lee Jinyeong Yeo RALM 28 1 0 06 Apr 2023
Natural Language Reasoning, A Survey Fei Yu Hongbo Zhang Prayag Tiwari Benyou Wang ReLM LRM 54 54 0 26 Mar 2023
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models Shujian Zhang Chengyue Gong Xingchao Liu RALM 53 6 0 02 Nov 2022
Counterfactual Multihop QA: A Cause-Effect Approach for Reducing Disconnected Reasoning Wangzhen Guo Qinkang Gong Hanjiang Lai LRM 27 4 0 13 Oct 2022
Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering Zhengbao Jiang Jun Araki Haibo Ding Graham Neubig LRM 35 10 0 09 Oct 2022
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension Xanh Ho Johannes Mario Meissner Saku Sugawara Akiko Aizawa OffRL 42 4 0 05 Sep 2022
Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts H. Trivedi Niranjan Balasubramanian Tushar Khot Ashish Sabharwal ReLM LRM 35 11 0 25 May 2022
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks Akari Asai Matt Gardner Hannaneh Hajishirzi RALM 28 45 0 16 Dec 2021
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale Yixin Nie Songhe Wang Joey Tianyi Zhou RALM 164 134 0 17 Sep 2019