Varun Gumma

Orcid: 0009-0002-5746-3017

According to our database1, Varun Gumma authored at least 17 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Contamination Report for Multilingual Benchmarks.
CoRR, 2024

HEALTH-PARIKSHA: Assessing RAG Models for Health Chatbots in Real-World Multilingual Settings.
CoRR, 2024

On the Interchangeability of Positional Embeddings in Multilingual Neural Machine Translation Models.
CoRR, 2024

Beyond Metrics: Evaluating LLMs' Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios.
CoRR, 2024

MunTTS: A Text-to-Speech System for Mundari.
CoRR, 2024

An Empirical Analysis of In-context Learning Abilities of LLMs for MT.
CoRR, 2024

METAL: Towards Multilingual Meta-Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MAFIA: Multi-Adapter Fused Inclusive Language Models.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages.
Trans. Mach. Learn. Res., 2023

MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks.
CoRR, 2023

An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models.
Proceedings of the 24th Annual Conference of the European Association for Machine Translation, 2023

2022
PAMMELA: Policy Administration Methodology using Machine Learning.
Proceedings of the 19th International Conference on Security and Cryptography, 2022

2021
PAMMELA: Policy Administration Methodology using Machine Learning.
CoRR, 2021


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