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20182025
most citedCORD-19: The COVID-19 Open Research Dataset

584 citations · 1.1k across the 51 of their papers we have counts for

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Showing 2022Show all

9 papers · 1 filter

cs.CL2022★ 4 cited

Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval

John Giorgi, Luca Soldaini, Bo Wang +4

Multi-document summarization (MDS) assumes a set of topic-related documents are provided as input. In practice, this document set is not always available; it would need to be retri…

cs.CL2022

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

BigScience Workshop, :, Teven Le Scao +391

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…

cs.CL2022★ 4 cited

SciFact-Open: Towards open-domain scientific claim verification

David Wadden, Kyle Lo, Bailey Kuehl +4

While research on scientific claim verification has led to the development of powerful systems that appear to approach human performance, these approaches have yet to be tested in…

cs.CL2022★ 20 cited

Multi-LexSum: Real-World Summaries of Civil Rights Lawsuits at Multiple Granularities

Zejiang Shen, Kyle Lo, Lauren Yu +3

With the advent of large language models, methods for abstractive summarization have made great strides, creating potential for use in applications to aid knowledge workers process…

cs.CY2022★ 44 cited

Data Governance in the Age of Large-Scale Data-Driven Language Technology

Yacine Jernite, Huu Nguyen, Stella Biderman +18

The recent emergence and adoption of Machine Learning technology, and specifically of Large Language Models, has drawn attention to the need for systematic and transparent manageme…

cs.CL2022

ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts

Sonia K. Murthy, Kyle Lo, Daniel King +7

Systems that can automatically define unfamiliar terms hold the promise of improving the accessibility of scientific texts, especially for readers who may lack prerequisite backgro…