activity
20242026
most citedConversAR: Exploring Embodied LLM-Powered Group Conversations in Augmented Reality for Second Language Learners

9 citations · 18 across the 7 of their papers we have counts for

collaborators

7 papers

cs.HC2026

How can LLMs Support Policy Researchers? Evaluating an LLM-Assisted Workflow for Large-Scale Unstructured Data

Yuhan Liu, Shuyao Zhou, Jakob Kaiser +5

Policy researchers need scalable ways to surface public views, yet they often rely on interviews, listening sessions, and surveys-analyzed thematically-that are slow, expensive, an…

cs.HC2025★ 9 cited

ConversAR: Exploring Embodied LLM-Powered Group Conversations in Augmented Reality for Second Language Learners

Jad Bendarkawi, Ashley Ponce, Sean Mata +6

Group conversations are valuable for second language (L2) learners as they provide opportunities to practice listening and speaking, exercise complex turn-taking skills, and experi…

cs.CL2025

LLMs Meet Finance: Fine-Tuning Foundation Models for the Open FinLLM Leaderboard

Varun Rao, Youran Sun, Mahendra Kumar +3

This paper investigates the application of large language models (LLMs) to financial tasks. We fine-tuned foundation models using the Open FinLLM Leaderboard as a benchmark. Buildi…

cs.HC2025★ 1 cited

FairFare: A Tool for Crowdsourcing Rideshare Data to Empower Labor Organizers

Dana Calacci, Varun Nagaraj Rao, Samantha Dalal +5

Rideshare workers experience unpredictable working conditions due to gig work platforms' reliance on opaque AI and algorithmic systems. In response to these challenges, we found th…

cs.HC2024★ 4 cited

Data Collectives as a means to Improve Accountability, Combat Surveillance and Reduce Inequalities

Jane Hsieh, Angie Zhang, Seyun Kim +7

Platform-based laborers face unprecedented challenges and working conditions that result from algorithmic opacity, insufficient data transparency, and unclear policies and regulati…

cs.CV2024★ 1 cited

RAVEN: Multitask Retrieval Augmented Vision-Language Learning

Varun Nagaraj Rao, Siddharth Choudhary, Aditya Deshpande +2

The scaling of large language models to encode all the world's knowledge in model parameters is unsustainable and has exacerbated resource barriers. Retrieval-Augmented Generation…

cs.CL2024★ 3 cited

QuaLLM: An LLM-based Framework to Extract Quantitative Insights from Online Forums

Varun Nagaraj Rao, Eesha Agarwal, Samantha Dalal +2

Online discussion forums provide crucial data to understand the concerns of a wide range of real-world communities. However, the typical qualitative and quantitative methodologies…