🧑‍🔬 Rishabh Singh

🏛️ Affiliations

🎓Academy of Scientific and Innovative ResearchGhaziabad · Indiacurrent🎓Ajay Kumar Garg Engineering CollegeGhaziabad · Indiacurrent🔬CSIR National Physical Laboratory of IndiaNew Delhi · Indiacurrent🏛️Council of Scientific and Industrial ResearchNew Delhi · Indiacurrent🎓Dayanand Ayurvedic CollegeJalandhar · Indiacurrent🎓Madhav Institute of Technology & ScienceGwaliorcurrent🎓Manipal Academy of Higher EducationManipal · Indiacurrent🏢MicrosoftRedmond · United States2015–2018 · 36 papers🏢GoogleMountain View · United States2018–2022 · 16 papers🎓Massachusetts Institute of TechnologyCambridge · United States2009–2016 · 14 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

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

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Neuro-Symbolic Program Synthesis (2016 · 152 citations)
   Neural program-induction models usually learn an opaque mapping. They are expensive to train and need a separate model for every task. This paper instead addresses program synthesis: from a few input-output examples, it produces an explicit program in a domain-specific language (DSL) that reproduces them. A single…
2. SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution (2025 · 64 citations)
   Reinforcement learning with simple rule-based rewards has strengthened LLM reasoning in math and competitive programming.
3. Program Synthesis (2017 · 63 citations)
   This monograph is a survey and tutorial, not an experimental paper. It addresses program synthesis: automatically building programs from a specification of user intent, such as input-output examples, demonstrations, natural language or logical constraints. The authors organize the field along three dimensions: how…

All works

9 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Syntax-Guided Synthesis ↗FMCAD 2013 · no summary yetRajeev Alur et al.2013 · 633 citations
2. Neuro-Symbolic Program SynthesisarXiv:1611.01855Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh, et al.2016 · 152 citations
3. Natural Language to Structured Query Generation via Meta-Learning ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · no summary yetPo-Sen Huang et al.2018 · 149 citations
4. Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis ↗arXiv:1805.04276 · no summary yetRudy Bunel et al.2018 · 66 citations
5. SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software EvolutionConference on Neural Information Processing Systems (NeurIPS)Yuxiang Wei, Olivier Duchenne, Jade Copet, et al.2025 · 64 citations
6. Program SynthesisFoundations and Trends in Programming Languages 4(1-2)Sumit Gulwani, Oleksandr Polozov, Rishabh Singh2017 · 63 citations
7. SpreadsheetCoder: Formula Prediction from Semi-structured Context ↗arXiv:2106.15339 · no summary yetXinyun Chen et al.2021 · 31 citations
8. Synthetic Datasets for Neural Program Synthesis ↗arXiv (Cornell University) · no summary yetRichard Shin et al.2019 · 30 citations
9. Measuring The Impact Of Programming Language Distribution ↗arXiv:2302.01973 · no summary yetGabriel Orlanski et al.2023 · 22 citations

🤝 Co-authors here

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

• Daniel Fried
• Gabriel Synnaeve
• Jade Copet
• Lihong Li
• Lingming Zhang
• Oleksandr Polozov
• Pushmeet Kohli
• Quentin Carbonneaux
• Sida Wang
• Sumit Gulwani
• Yuxiang Wei

Venues

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

• Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2025
• FMCAD 2013
• Foundations and Trends in Programming Languages 4(1-2)
• Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)

🔗 Cited by

Papers of our library cite their works 329 times (of the 149,439 papers whose bibliographies we read); 62 citing papers with a page here →.

Updated 2 November 2026

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