activity
20232026
most citedThe Use of Generative Search Engines for Knowledge Work and Complex Tasks

6 citations · 14 across the 12 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CL2024

WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback

Taiwei Shi, Zhuoer Wang, Longqi Yang +12

As large language models (LLMs) continue to advance, aligning these models with human preferences has emerged as a critical challenge. Traditional alignment methods, relying on hum…

cs.HC2024★ 1 cited

Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media

Zhuoran Lu, Sheshera Mysore, Tara Safavi +3

Workplace social media platforms enable employees to cultivate their professional image and connect with colleagues in a semi-formal environment. While semi-formal corporate commun…

cs.IR2024★ 6 cited

The Use of Generative Search Engines for Knowledge Work and Complex Tasks

Siddharth Suri, Scott Counts, Leijie Wang +11

Until recently, search engines were the predominant method for people to access online information. The recent emergence of large language models (LLMs) has given machines new capa…

cs.CL2024★ 2 cited

TnT-LLM: Text Mining at Scale with Large Language Models

Mengting Wan, Tara Safavi, Sujay Kumar Jauhar +11

Transforming unstructured text into structured and meaningful forms, organized by useful category labels, is a fundamental step in text mining for downstream analysis and applicati…

cs.IR2024

Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

Ying-Chun Lin, Jennifer Neville, Jack W. Stokes +14

Accurate and interpretable user satisfaction estimation (USE) is critical for understanding, evaluating, and continuously improving conversational systems. Users express their sati…