3 papers
eess.AS2026
HARNESS: Lightweight Distilled Arabic Speech Foundation Models
Vrunda N. Sukhadia, Shammur Absar Chowdhury
Large self-supervised speech (SSL) models achieve strong downstream performance, but their size limits deployment in resource-constrained settings. We present HArnESS, an Arabic-ce…
cs.CL2025
HARNESS: Lightweight Distilled Arabic Speech Foundation Models
Vrunda N. sukhadia, Shammur Absar Chowdhury
Large pre-trained speech models excel in downstream tasks but their deployment is impractical for resource-limited environments. In this paper, we introduce HArnESS, the first Arab…
cs.CL2025
NativQA: Multilingual Culturally-Aligned Natural Query for LLMs
Md. Arid Hasan, Maram Hasanain, Fatema Ahmad +6
Natural Question Answering (QA) datasets play a crucial role in evaluating the capabilities of large language models (LLMs), ensuring their effectiveness in real-world applications…