1 code implementation • 2 Oct 2023 • Ori Yoran, Tomer Wolfson, Ori Ram, Jonathan Berant
An important desideratum of RALMs, is that retrieved information helps model performance when it is relevant, and does not harm performance when it is not.
Ranked #3 on Question Answering on Bamboogle
1 code implementation • 25 Apr 2023 • Ori Yoran, Tomer Wolfson, Ben Bogin, Uri Katz, Daniel Deutch, Jonathan Berant
Modern systems for multi-hop question answering (QA) typically break questions into a sequence of reasoning steps, termed chain-of-thought (CoT), before arriving at a final answer.
Ranked #2 on Question Answering on Bamboogle
no code implementations • 25 May 2022 • Samuel Joseph Amouyal, Tomer Wolfson, Ohad Rubin, Ori Yoran, Jonathan Herzig, Jonathan Berant
Our results highlight the need for developing ODQA models that handle a broad range of question types, including single and multi-answer questions.
1 code implementation • Findings (NAACL) 2022 • Tomer Wolfson, Daniel Deutch, Jonathan Berant
Given questions, their QDMR structures (annotated by non-experts or automatically predicted), and the answers, we are able to automatically synthesize SQL queries that are used to train text-to-SQL models.
1 code implementation • 29 Jul 2021 • Mor Geva, Tomer Wolfson, Jonathan Berant
We evaluate a range of RC models on our evaluation sets, which reveals large performance gaps on generated examples compared to the original data.
1 code implementation • ACL 2020 • Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
Neural module networks (NMNs) are a popular approach for modeling compositionality: they achieve high accuracy when applied to problems in language and vision, while reflecting the compositional structure of the problem in the network architecture.
4 code implementations • TACL 2020 • Tomer Wolfson, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch, Jonathan Berant
Understanding natural language questions entails the ability to break down a question into the requisite steps for computing its answer.
no code implementations • 14 Aug 2018 • Jonathan Berant, Daniel Deutch, Amir Globerson, Tova Milo, Tomer Wolfson
Designing a reliable natural language (NL) interface for querying tables has been a longtime goal of researchers in both the data management and natural language processing (NLP) communities.