Vasudevan Nedumpozhimana

Vasudevan Nedumpozhimana has 2 papers in our library, in 2026, most of them on Low-resource languages, Reasoning; often with John Kelleher, Solmaz Panahi.

2 papers in our library · 2026

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Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

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SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource Languages (2026 · 1 citation)
Farsi has far too little labeled data for Natural Language Inference (NLI). The largest existing set has under 10K examples, and ParsiNLU has only about 2.7K hand-made items. Translating English corpora tends to introduce artifacts. The authors propose a two-stage pipeline for any classification task on text pairs. A…
When LLMs Annotate: Reliability Challenges in Low-Resource NLI (2026 · 1 citation)
The paper asks whether large language models can stand in for human annotators on a demanding semantic task in a low-resource language: Natural Language Inference (NLI) in Farsi.

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Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated 31 October 2026