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20212026
most citedLAraBench: Benchmarking Arabic AI with Large Language Models

14 citations · 46 across the 26 of their papers we have counts for

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Showing 2023 · cs.CLShow all

5 papers · 2 filters

cs.CL2023

Pseudo-Labeling for Domain-Agnostic Bangla Automatic Speech Recognition

Rabindra Nath Nandi, Mehadi Hasan Menon, Tareq Al Muntasir +5

One of the major challenges for developing automatic speech recognition (ASR) for low-resource languages is the limited access to labeled data with domain-specific variations. In t…

cs.CL2023★ 1 cited

Automatic Pronunciation Assessment -- A Review

Yassine El Kheir, Ahmed Ali, Shammur Absar Chowdhury

Pronunciation assessment and its application in computer-aided pronunciation training (CAPT) have seen impressive progress in recent years. With the rapid growth in language proces…

cs.CL2023★ 1 cited

The complementary roles of non-verbal cues for Robust Pronunciation Assessment

Yassine El Kheir, Shammur Absar Chowdhury, Ahmed Ali

Research on pronunciation assessment systems focuses on utilizing phonetic and phonological aspects of non-native (L2) speech, often neglecting the rich layer of information hidden…

cs.CL2023★ 4 cited

LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking

Fahim Dalvi, Maram Hasanain, Sabri Boughorbel +10

The recent development and success of Large Language Models (LLMs) necessitate an evaluation of their performance across diverse NLP tasks in different languages. Although several…

cs.CL2023★ 14 cited

LAraBench: Benchmarking Arabic AI with Large Language Models

Ahmed Abdelali, Hamdy Mubarak, Shammur Absar Chowdhury +13

Recent advancements in Large Language Models (LLMs) have significantly influenced the landscape of language and speech research. Despite this progress, these models lack specific b…