13 citations · 19 across the 7 of their papers we have counts for
7 papers
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…
Measuring and Addressing Indexical Bias in Information Retrieval
Caleb Ziems, William Held, Jane Dwivedi-Yu +1
Information Retrieval (IR) systems are designed to deliver relevant content, but traditional systems may not optimize rankings for fairness, neutrality, or the balance of ideas. Co…
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…
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…
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…
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…
Affective Signals in a Social Media Recommender System
Jane Dwivedi-Yu, Yi-Chia Wang, Lijing Qin +2
People come to social media to satisfy a variety of needs, such as being informed, entertained and inspired, or connected to their friends and community. Hence, to design a ranking…