2 papers
cs.CL2025
Intended Target Identification for Anomia Patients with Gradient-based Selective Augmentation
Jongho Kim, Romain Storaï, Seung-won Hwang
In this study, we investigate the potential of language models (LMs) in aiding patients experiencing anomia, a difficulty identifying the names of items. Identifying the intended t…
cs.CL2024
HARP: Hesitation-Aware Reframing in Transformer Inference Pass
Romain Storaï, Seung-won Hwang
This paper aims to improve the performance of large language models by addressing the variable computational demands in inference steps, where some tokens require more computationa…