565 citations · 2.3k across the 68 of their papers we have counts for
11 papers · 1 filter
What Does My QA Model Know? Devising Controlled Probes using Expert Knowledge
Kyle Richardson, Ashish Sabharwal
Open-domain question answering (QA) is known to involve several underlying knowledge and reasoning challenges, but are models actually learning such knowledge when trained on bench…
Approximating the Permanent by Sampling from Adaptive Partitions
Jonathan Kuck, Tri Dao, Hamid Rezatofighi +2
Computing the permanent of a non-negative matrix is a core problem with practical applications ranging from target tracking to statistical thermodynamics. However, this problem is…
Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses
Erfan Sadeqi Azer, Daniel Khashabi, Ashish Sabharwal +1
Empirical research in Natural Language Processing (NLP) has adopted a narrow set of principles for assessing hypotheses, relying mainly on p-value computation, which suffers from s…
QASC: A Dataset for Question Answering via Sentence Composition
Tushar Khot, Peter Clark, Michal Guerquin +2
Composing knowledge from multiple pieces of texts is a key challenge in multi-hop question answering. We present a multi-hop reasoning dataset, Question Answering via Sentence Comp…
Towards Efficient Discrete Integration via Adaptive Quantile Queries
Fan Ding, Hanjing Wang, Ashish Sabharwal +1
Discrete integration in a high dimensional space of n variables poses fundamental challenges. The WISH algorithm reduces the intractable discrete integration problem into n optimiz…
What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering
Tushar Khot, Ashish Sabharwal, Peter Clark
Multi-hop textual question answering requires combining information from multiple sentences. We focus on a natural setting where, unlike typical reading comprehension, only partial…