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cs.CL2025
The illusion of a perfect metric: Why evaluating AI's words is harder than it looks
Maria Paz Oliva, Adriana Correia, Ivan Vankov +1
Evaluating Natural Language Generation (NLG) is crucial for the practical adoption of AI, but has been a longstanding research challenge. While human evaluation is considered the d…
cs.CL2022
Searching for Carriers of the Diffuse Interstellar Bands Across Disciplines, using Natural Language Processing
Corentin van den Broek d'Obrenan, Frédéric Galliano, Jeremy Minton +2
The explosion of scientific publications overloads researchers with information. This is even more dramatic for interdisciplinary studies, where several fields need to be explored.…
cs.CL2021
Domain-adaptation of spherical embeddings
Mihalis Gongolidis, Jeremy Minton, Ronin Wu +3
Domain adaptation of embedding models, updating a generic embedding to the language of a specific domain, is a proven technique for domains that have insufficient data to train an…