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title: "Dipanjan Das — papers, page 2 — Elamur Research"
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# Dipanjan Das · page 2

29 papers in our library · 2009–2025 · page 2 of 2

[The profile, affiliations and co-authors →](https://md.research.elamur.ai/free/en/authors/dipanjan-das/)

## Papers

The most cited first (OpenAlex and our library).

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26. **[QAmeleon: Multilingual QA with Only 5 Examples](https://md.research.elamur.ai/free/en/papers/agrawal-2023-qameleon-multilingual-qa-only-5/)** *(2023 · 45 citations)* Extractive question answering datasets are large mainly for English, so QA systems in other languages usually depend on zero-shot transfer or machine-translated training data.
27. **[Semi-Supervised Frame-Semantic Parsing for Unknown Predicates](https://md.research.elamur.ai/free/en/papers/das-2011-semi-supervised-frame-semantic-parsing/)** *(2011 · 41 citations)* Frame-semantic parsers trained on FrameNet struggle with predicates that never appear in the lexicon or its annotated sentences.
28. **[Dolomites: Domain-Specific Long-Form Methodical Tasks](https://md.research.elamur.ai/free/en/papers/malaviya-2025-dolomites-domain-specific-long-form/)** *(2025 · 12 citations)* Professionals such as clinicians, lawyers and teachers often produce structured documents (care plans, petitions, lesson plans) by following a fairly fixed routine.
29. **[SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge](https://md.research.elamur.ai/free/en/papers/haas-2025-simpleqa-verified-reliable-factuality-benchmark/)** *(2025 · 12 citations)* OpenAI's SimpleQA became a standard test of whether LLMs can recall short facts from their own weights. It has flaws, though. Some reference answers are wrong, individual raters contributed clusters of near-identical questions, and dates, person names and science/technology topics dominate.

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