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20242026
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cs.CL2026

Scripts Through Time: A Survey of the Evolving Role of Transliteration in NLP

Thanmay Jayakumar, Deepon Halder, Raj Dabre

Cross-lingual transfer in NLP is often hindered by the ``script barrier'' where differences in writing systems inhibit transfer learning between languages. Transliteration, the pro…

cs.CL2026

IndicIFEval: A Benchmark for Verifiable Instruction-Following Evaluation in 14 Indic Languages

Thanmay Jayakumar, Mohammed Safi Ur Rahman Khan, Raj Dabre +2

Instruction-following benchmarks remain predominantly English-centric, leaving a critical evaluation gap for the hundreds of millions of Indic language speakers. We introduce Indic…

cs.CL2025

RiddleBench: A New Generative Reasoning Benchmark for LLMs

Deepon Halder, Alan Saji, Thanmay Jayakumar +3

Large Language Models have demonstrated strong performance on many established reasoning benchmarks. However, these benchmarks primarily evaluate structured skills like quantitativ…

cs.CL2025

CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation

Emilio Villa-Cueva, Sholpan Bolatzhanova, Diana Turmakhan +32

Translating cultural content poses challenges for machine translation systems due to the differences in conceptualizations between cultures, where language alone may fail to convey…

cs.CL2025

CycleDistill: Bootstrapping Machine Translation using LLMs with Cyclical Distillation

Deepon Halder, Thanmay Jayakumar, Raj Dabre

Large language models (LLMs), despite their ability to perform few-shot machine translation (MT), often lag behind dedicated MT systems trained on parallel corpora, which are cruci…

cs.CL2025

RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs

Alan Saji, Jaavid Aktar Husain, Thanmay Jayakumar +3

Large Language Models (LLMs) exhibit strong multilingual performance despite being predominantly trained on English-centric corpora. This raises a fundamental question: How do LLMs…