4 citations · 5 across the 3 of their papers we have counts for
5 papers · 1 filter
Distilling an End-to-End Voice Assistant Without Instruction Training Data
William Held, Ella Li, Michael Ryan +3
Voice assistants, such as Siri and Google Assistant, typically model audio and text separately, resulting in lost speech information and increased complexity. Recent efforts to add…
Social Skill Training with Large Language Models
Diyi Yang, Caleb Ziems, William Held +3
People rely on social skills like conflict resolution to communicate effectively and to thrive in both work and personal life. However, practice environments for social skills are…
A Material Lens on Coloniality in NLP
William Held, Camille Harris, Michael Best +1
Coloniality, the continuation of colonial harms beyond "official" colonization, has pervasive effects across society and scientific fields. Natural Language Processing (NLP) is no…
Task-Agnostic Low-Rank Adapters for Unseen English Dialects
Zedian Xiao, William Held, Yanchen Liu +1
Large Language Models (LLMs) are trained on corpora disproportionally weighted in favor of Standard American English. As a result, speakers of other dialects experience significant…
Modeling Cross-Cultural Pragmatic Inference with Codenames Duet
Omar Shaikh, Caleb Ziems, William Held +3
Pragmatic reference enables efficient interpersonal communication. Prior work uses simple reference games to test models of pragmatic reasoning, often with unidentified speakers an…