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Sindhu Tipirneni

Sindhu Tipirneni has 2 papers in our library, in 2022–2023, most of them on Code & programming languages, Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Aneesh Jain, Chandan K. Reddy, Ming Zhu.

2 papers in our library · 2022–2023

OpenAlex · ORCID · Wikidata · h-index 8 · 13 works · 351 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 75 times in our library · ⭐ Paper Stars ranking: #8279

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

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

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence (2022 · 58 citations)
    Machine learning models for source code have plenty of unlabeled GitHub data to learn from. Tasks like translation, summarization, synthesis and search, however, need aligned examples, and existing parallel corpora are small or cover only one or two languages. XLCoST fills this gap with a benchmark built from…
  2. Execution-based Code Generation using Deep Reinforcement Learning (2023 · 47 citations)
    Pre-trained code models such as CodeT5 or PLBART are usually fine-tuned with token-level objectives borrowed from text generation.

 Co-authors here

4 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 75 times (of the 149,439 papers whose bibliographies we read); 24 citing papers with a page here →.

Updated

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