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.
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
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Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksInformation Systems · 2 worksArts and Humanities · 1 workArtificial Intelligence · 1 workLanguage and Linguistics · 1 workComputer Science Applications · 1 workSoftware · 1 work
🧭 Topics 3Research subjects and languages the work is about.Code & programming languages · 2 worksEvaluation & benchmarks · 1 workMultilingual & cross-lingual NLP · 1 work
Works by year
2020s
Papers
- 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… - 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.
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