activity
20232026
most citedCareless Whisper: Speech-to-Text Hallucination Harms

82 citations · 134 across the 6 of their papers we have counts for

collaborators

7 papers

cs.HC2026

Procedural Collapse: A Structural Account of Disengagement in LLM-Assisted Writing

JaeWon Kim, Katelyn X. Mei

When students use large language models for writing, the dominant explanation for disengagement is dispositional: they are over-reliant, and the remedy is to scaffold self-regulati…

cs.CL2025

Leveraging Hierarchical Organization for Medical Multi-document Summarization

Yi-Li Hsu, Katelyn X. Mei, Lucy Lu Wang

Medical multi-document summarization (MDS) is a complex task that requires effectively managing cross-document relationships. This paper investigates whether incorporating hierarch…

cs.CY2025

Addressing Pitfalls in Auditing Practices of Automatic Speech Recognition Technologies: A Case Study of People with Aphasia

Katelyn Xiaoying Mei, Anna Seo Gyeong Choi, Hilke Schellmann +2

Automatic Speech Recognition (ASR) systems' growing use warrants robust auditing approaches to ensure equitable transcription quality, especially for people with speech disorders l…

cs.HC2025

Passing the Buck to AI: How Individuals' Decision-Making Patterns Affect Reliance on AI

Katelyn Xiaoying Mei, Rock Yuren Pang, Alex Lyford +2

Psychological research has identified different patterns individuals have while making decisions, such as vigilance (making decisions after thorough information gathering), hypervi…

cs.HC2025

Designing AI Systems that Augment Human Performed vs. Demonstrated Critical Thinking

Katelyn Xiaoying Mei, Nic Weber

The recent rapid advancement of LLM-based AI systems has accelerated our search and production of information. While the advantages brought by these systems seemingly improve the p…

cs.CL2024★ 82 cited

Careless Whisper: Speech-to-Text Hallucination Harms

Allison Koenecke, Anna Seo Gyeong Choi, Katelyn X. Mei +2

Speech-to-text services aim to transcribe input audio as accurately as possible. They increasingly play a role in everyday life, for example in personal voice assistants or in cust…

cs.CY2023★ 52 cited

Bias Against 93 Stigmatized Groups in Masked Language Models and Downstream Sentiment Classification Tasks

Katelyn X. Mei, Sonia Fereidooni, Aylin Caliskan

The rapid deployment of artificial intelligence (AI) models demands a thorough investigation of biases and risks inherent in these models to understand their impact on individuals…