46 citations · 72 across the 10 of their papers we have counts for
10 papers
How Far Can We Extract Diverse Perspectives from Large Language Models?
Shirley Anugrah Hayati, Minhwa Lee, Dheeraj Rajagopal +1
Collecting diverse human opinions is costly and challenging. This leads to a recent trend in exploiting large language models (LLMs) for generating diverse data for potential scala…
Werewolf Among Us: A Multimodal Dataset for Modeling Persuasion Behaviors in Social Deduction Games
Bolin Lai, Hongxin Zhang, Miao Liu +6
Persuasion modeling is a key building block for conversational agents. Existing works in this direction are limited to analyzing textual dialogue corpus. We argue that visual signa…
Modeling Motivational Interviewing Strategies On An Online Peer-to-Peer Counseling Platform
Raj Sanjay Shah, Faye Holt, Shirley Anugrah Hayati +4
Millions of people participate in online peer-to-peer support sessions, yet there has been little prior research on systematic psychology-based evaluations of fine-grained peer-cou…
StyLEx: Explaining Style Using Human Lexical Annotations
Shirley Anugrah Hayati, Kyumin Park, Dheeraj Rajagopal +2
Large pre-trained language models have achieved impressive results on various style classification tasks, but they often learn spurious domain-specific words to make predictions (H…
Real-Time Detection of Crowded Buses via Mobile Phones
Alex Haig, Shirley Anugrah Hayati, Anthony Tomasic
Automated passenger counting (APC) technology is central to many aspects of the public transit experience. APC information informs public transit planners about utilization in a pu…
Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica
Shirley Anugrah Hayati, Dongyeop Kang, Lyle Ungar
People convey their intention and attitude through linguistic styles of the text that they write. In this study, we investigate lexicon usages across styles throughout two lenses:…
DEUX: An Attribute-Guided Framework for Sociable Recommendation Dialog Systems
Yu Li, Shirley Anugrah Hayati, Weiyan Shi +1
It is important for sociable recommendation dialog systems to perform as both on-task content and social content to engage users and gain their favor. In addition to understand the…
INSPIRED: Toward Sociable Recommendation Dialog Systems
Shirley Anugrah Hayati, Dongyeop Kang, Qingxiaoyang Zhu +2
In recommendation dialogs, humans commonly disclose their preference and make recommendations in a friendly manner. However, this is a challenge when developing a sociable recommen…
A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization
Graham Neubig, Shruti Rijhwani, Alexis Palmer +21
Despite recent advances in natural language processing and other language technology, the application of such technology to language documentation and conservation has been limited…
Retrieval-Based Neural Code Generation
Shirley Anugrah Hayati, Raphael Olivier, Pravalika Avvaru +3
In models to generate program source code from natural language, representing this code in a tree structure has been a common approach. However, existing methods often fail to gene…