most citedMEGA: Multilingual Evaluation of Generative AI

14 citations · 32 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2024

AI and the Future of Work in Africa White Paper

Jacki O'Neill, Vukosi Marivate, Barbara Glover +71

This white paper is the output of a multidisciplinary workshop in Nairobi (Nov 2023). Led by a cross-organisational team including Microsoft Research, NEPAD, Lelapa AI, and Univers…

cs.CL2024★ 2 cited

BEnQA: A Question Answering and Reasoning Benchmark for Bengali and English

Sheikh Shafayat, H M Quamran Hasan, Minhajur Rahman Chowdhury Mahim +3

In this study, we introduce BEnQA, a dataset comprising parallel Bengali and English exam questions for middle and high school levels in Bangladesh. Our dataset consists of approxi…

cs.CL2023★ 4 cited

MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks

Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma +8

There has been a surge in LLM evaluation research to understand LLM capabilities and limitations. However, much of this research has been confined to English, leaving LLM building…

cs.CL2023★ 12 cited

Prompt Engineering a Prompt Engineer

Qinyuan Ye, Maxamed Axmed, Reid Pryzant +1

Prompt engineering is a challenging yet crucial task for optimizing the performance of large language models on customized tasks. It requires complex reasoning to examine the model…

cs.CL2023★ 14 cited

MEGA: Multilingual Evaluation of Generative AI

Kabir Ahuja, Harshita Diddee, Rishav Hada +9

Generative AI models have shown impressive performance on many Natural Language Processing tasks such as language understanding, reasoning, and language generation. An important qu…