activity
20192026
most citedWhat if we had no Wikipedia? Domain-independent Term Extraction from a Large News Corpus

3 citations · 5 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CL2026

Masked by Consensus: Disentangling Privileged Knowledge in LLM Correctness

Tomer Ashuach, Shai Gretz, Yoav Katz +2

Humans use introspection to evaluate their understanding through private internal states inaccessible to external observers. We investigate whether large language models possess si…

cs.CL20221 cited

VIRATrustData: A Trust-Annotated Corpus of Human-Chatbot Conversations About COVID-19 Vaccines

Roni Friedman, João Sedoc, Shai Gretz +5

Public trust in medical information is crucial for successful application of public health policies such as vaccine uptake. This is especially true when the information is offered…

cs.CL2020

The workweek is the best time to start a family -- A Study of GPT-2 Based Claim Generation

Shai Gretz, Yonatan Bilu, Edo Cohen-Karlik +1

Argument generation is a challenging task whose research is timely considering its potential impact on social media and the dissemination of information. Here we suggest a pipeline…

cs.CL20203 cited

What if we had no Wikipedia? Domain-independent Term Extraction from a Large News Corpus

Yonatan Bilu, Shai Gretz, Edo Cohen +1

One of the most impressive human endeavors of the past two decades is the collection and categorization of human knowledge in the free and accessible format that is Wikipedia. In t…

cs.CL20191 cited

A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis

Shai Gretz, Roni Friedman, Edo Cohen-Karlik +4

Identifying the quality of free-text arguments has become an important task in the rapidly expanding field of computational argumentation. In this work, we explore the challenging…

cs.CL2019

Automatic Argument Quality Assessment -- New Datasets and Methods

Assaf Toledo, Shai Gretz, Edo Cohen-Karlik +6

We explore the task of automatic assessment of argument quality. To that end, we actively collected 6.3k arguments, more than a factor of five compared to previously examined data.…