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20242026
most citedBetter Slow than Sorry: Introducing Positive Friction for Reliable Dialogue Systems

1 citations · 3 across the 11 of their papers we have counts for

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cs.CL2026

DiscoSign: Discourse-Aware Text to Sign Language Gloss Translation

Vasileios Baltatzis, Mert Inan, Connor Gillis +4

Sign language processing systems have traditionally operated at the sentence level, ignoring critical discourse phenomena fundamental to sign language comprehension. We introduce D…

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.CL20251 cited

Better Slow than Sorry: Introducing Positive Friction for Reliable Dialogue Systems

Mert İnan, Anthony Sicilia, Suvodip Dey +6

While theories of discourse and cognitive science have long recognized the value of unhurried pacing, recent dialogue research tends to minimize friction in conversational systems.…