Showing cs.CLShow all
3 papers · 1 filter
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…