activity
20232025
most citedThe Use of Generative Search Engines for Knowledge Work and Complex Tasks

6 citations · 8 across the 2 of their papers we have counts for

collaborators

5 papers

cs.HC2025

From Measurement to Expertise: Empathetic Expert Adapters for Context-Based Empathy in Conversational AI Agents

Erfan Shayegani, Jina Suh, Andy Wilson +2

Empathy is a critical factor in fostering positive user experiences in conversational AI. While models can display empathy, it is often generic rather than tailored to specific tas…

cs.CL2025

Conversational User-AI Intervention: A Study on Prompt Rewriting for Improved LLM Response Generation

Rupak Sarkar, Bahareh Sarrafzadeh, Nirupama Chandrasekaran +4

Human-LLM conversations are increasingly becoming more pervasive in peoples' professional and personal lives, yet many users still struggle to elicit helpful responses from LLM Cha…

cs.IR20246 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.CL20242 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.IR2023

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies

Chirag Shah, Ryen W. White, Reid Andersen +13

Log data can reveal valuable information about how users interact with Web search services, what they want, and how satisfied they are. However, analyzing user intents in log data…