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20192026
most citedAPPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations

11 citations · 52 across the 46 of their papers we have counts for

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Showing 2025Show all

10 papers · 1 filter

cs.HC2025

"Nothing about us without us": Perspectives of Global Deaf and Hard-of-hearing Community Members on Sign Language Technologies

Katherine Atwell, Saki Imai, Danielle Bragg +1

There is accelerating interest in sign language technologies (SLTs), with increasing attention from both industry and academia. However, the perspectives of Deaf and Hard-of-hearin…

cs.CL2025

Identifying & Interactively Refining Ambiguous User Goals for Data Visualization Code Generation

Mert İnan, Anthony Sicilia, Alex Xie +3

Establishing shared goals is a fundamental step in human-AI communication. However, ambiguities can lead to outputs that seem correct but fail to reflect the speaker's intent. In t…

cs.CL2025

How Pragmatics Shape Articulation: A Computational Case Study in STEM ASL Discourse

Saki Imai, Lee Kezar, Laurel Aichler +5

Most state-of-the-art sign language models are trained on interpreter or isolated vocabulary data, which overlooks the variability that characterizes natural dialogue. However, hum…

cs.CL2025

Measuring How (Not Just Whether) VLMs Build Common Ground

Saki Imai, Mert İnan, Anthony Sicilia +1

Large vision language models (VLMs) increasingly claim reasoning skills, yet current benchmarks evaluate them in single-turn or question answering settings. However, grounding is a…

cs.CL2025

SiLVERScore: Semantically-Aware Embeddings for Sign Language Generation Evaluation

Saki Imai, Mert İnan, Anthony Sicilia +1

Evaluating sign language generation is often done through back-translation, where generated signs are first recognized back to text and then compared to a reference using text-base…

cs.AI2025

BASIL: Bayesian Assessment of Sycophancy in LLMs

Katherine Atwell, Pedram Heydari, Anthony Sicilia +1

Sycophancy (overly agreeable or flattering behavior) poses a fundamental challenge for human-AI collaboration, particularly in high-stakes decision-making domains such as health, l…