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20222024
most citedAffective Signals in a Social Media Recommender System

13 citations · 19 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CL2024

Examining the Role of Relationship Alignment in Large Language Models

Kristen M. Altenburger, Hongda Jiang, Robert E. Kraut +2

The rapid development and deployment of Generative AI in social settings raise important questions about how to optimally personalize them for users while maintaining accuracy and…

cs.CL2023★ 2 cited

ROBBIE: Robust Bias Evaluation of Large Generative Language Models

David Esiobu, Xiaoqing Tan, Saghar Hosseini +7

As generative large language models (LLMs) grow more performant and prevalent, we must develop comprehensive enough tools to measure and improve their fairness. Different prompt-ba…

cs.CL2023★ 1 cited

TimelineQA: A Benchmark for Question Answering over Timelines

Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li +4

Lifelogs are descriptions of experiences that a person had during their life. Lifelogs are created by fusing data from the multitude of digital services, such as online photos, map…

cs.CL2023

NormBank: A Knowledge Bank of Situational Social Norms

Caleb Ziems, Jane Dwivedi-Yu, Yi-Chia Wang +2

We present NormBank, a knowledge bank of 155k situational norms. This resource is designed to ground flexible normative reasoning for interactive, assistive, and collaborative AI s…

cs.CL2023★ 3 cited

Learnings from Data Integration for Augmented Language Models

Alon Halevy, Jane Dwivedi-Yu

One of the limitations of large language models is that they do not have access to up-to-date, proprietary or personal data. As a result, there are multiple efforts to extend langu…