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20182026
most citedCORD-19: The COVID-19 Open Research Dataset

584 citations · 910 across the 50 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.CL2024

Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only

Jihan Yao, Wenxuan Ding, Shangbin Feng +2

In the absence of abundant reliable annotations for challenging tasks and contexts, how can we expand the frontier of LLM capabilities with potentially wrong answers? We focus on t…

cs.DL2024★ 2 cited

Uncovering the New Accessibility Crisis in Scholarly PDFs

Anukriti Kumar, Lucy Lu Wang

Most scholarly works are distributed online in PDF format, which can present significant accessibility challenges for blind and low-vision readers. To characterize the scope of thi…

cs.CL2024★ 1 cited

CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support

Chao-Chun Hsu, Erin Bransom, Jenna Sparks +5

Literature review requires researchers to synthesize a large amount of information and is increasingly challenging as the scientific literature expands. In this work, we investigat…

cs.CL2024★ 1 cited

Know Your Limits: A Survey of Abstention in Large Language Models

Bingbing Wen, Jihan Yao, Shangbin Feng +4

Abstention, the refusal of large language models (LLMs) to provide an answer, is increasingly recognized for its potential to mitigate hallucinations and enhance safety in LLM syst…

cs.CL2024

TOPICAL: TOPIC Pages AutomagicaLly

John Giorgi, Amanpreet Singh, Doug Downey +2

Topic pages aggregate useful information about an entity or concept into a single succinct and accessible article. Automated creation of topic pages would enable their rapid curati…

cs.CL2024

Characterizing LLM Abstention Behavior in Science QA with Context Perturbations

Bingbing Wen, Bill Howe, Lucy Lu Wang

The correct model response in the face of uncertainty is to abstain from answering a question so as not to mislead the user. In this work, we study the ability of LLMs to abstain f…

cs.HC2024★ 27 cited

From Paper to Card: Transforming Design Implications with Generative AI

Donghoon Shin, Lucy Lu Wang, Gary Hsieh

Communicating design implications is common within the HCI community when publishing academic papers, yet these papers are rarely read and used by designers. One solution is to use…

cs.CL2024★ 2 cited

NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs

Maria Antoniak, Aakanksha Naik, Carla S. Alvarado +2

Ethical frameworks for the use of natural language processing (NLP) are urgently needed to shape how large language models (LLMs) and similar tools are used for healthcare applicat…