Thanmay Jayakumar

According to our database1, Thanmay Jayakumar authored at least 14 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Scripts Through Time: A Survey of the Evolving Role of Transliteration in NLP.
CoRR, April, 2026

IndicIFEval: A Benchmark for Verifiable Instruction-Following Evaluation in 14 Indic Languages.
CoRR, February, 2026

RiddleBench: A New Generative Reasoning Benchmark for LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025
CycleDistill: Bootstrapping Machine Translation using LLMs with Cyclical Distillation.
CoRR, June, 2025

CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation.
CoRR, May, 2025


Data and Model Centric Approaches for Expansion of Large Language Models to New languages.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark.
CoRR, 2024

Airavata: Introducing Hindi Instruction-tuned LLM.
CoRR, 2024

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Leveraging Linguistically Enhanced Embeddings for Open Information Extraction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models via Romanization.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Large Language Models are legal but they are not: Making the case for a powerful LegalLLM.
CoRR, 2023


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