Rishabh Singh

Researcher, AI Research, Databricks, Databricks

Joined

November 2016

Names

Rishabh Singh (Preferred)

Emails

****@microsoft.com (Confirmed)

****@gmail.com (Confirmed)

****@google.com (Confirmed)

****@meta.com (Confirmed)

****@databricks.com (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

Researcher

AI Research, Databricks, Databricks (databricks.com)

2025 – Present

Researcher

Meta (meta.com)

2023 – 2025

Research Scientist

Google Brain (google.com)

2018 – 2022

Researcher

Microsoft Research (microsoft.com)

2014 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Armando Solar-Lezama

2008 – 2014

Expertise

Coding Agents

2020 – Present

Program Synthesis

2008 – Present

Code Generation

2008 – Present

Publications

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
Yuxiang Wei, Olivier Duchenne, Jade Copet, Quentin Carbonneaux, LINGMING ZHANG, Daniel Fried, Gabriel Synnaeve, Rishabh Singh, Sida Wang
- DL4C @ NeurIPS 2025 Oral
- Readers: Everyone
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
Yuxiang Wei, Olivier Duchenne, Jade Copet, Quentin Carbonneaux, LINGMING ZHANG, Daniel Fried, Gabriel Synnaeve, Rishabh Singh, Sida Wang
- NeurIPS 2025 poster
- Readers: Everyone
FILI: Syntax Repair By Learning From Own Mistakes
Sahil Bhatia, Navneet Potti, Rishabh Singh
- Submitted to ICLR 2024
- Readers: Everyone
MoËT: Mixture of Expert Trees and its application to verifiable reinforcement learning
Marko Vasic, Andrija Petrovic, Kaiyuan Wang, Mladen Nikolic, Rishabh Singh, Sarfraz Khurshid
- 26 Aug 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Measuring the Impact of Programming Language Distribution
Gabriel Orlanski, Kefan Xiao, Xavier Garcia, Jeffrey Hui, Joshua Howland, Jonathan Malmaud, Jacob Austin, Rishabh Singh, Michele Catasta
- ICML 2023 Poster
- Readers: Everyone
Learning Semantic Representations to Verify Hardware Designs
Shobha Vasudevan, Wenjie Jiang, David Bieber, Rishabh Singh, HAMID SHOJAEI, C. Richard Ho, Charles Sutton
- Published: 09 Nov 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Poster
- Readers: Everyone
TF-Coder: Program Synthesis for Tensor Manipulations
Kensen Shi, David Bieber, Rishabh Singh
- Published: 03 Nov 2020, Last Modified: 26 May 2025
- NeurIPS 2020 CAP Workshop
- Readers: Everyone
BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration
Augustus Odena, Kensen Shi, David Bieber, Rishabh Singh, Charles Sutton, Hanjun Dai
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Spotlight
- Readers: Everyone
Scaling Symbolic Methods using Gradients for Neural Model Explanation
Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick Riley
- Published: 12 Jan 2021, Last Modified: 12 Oct 2025
- ICLR 2021 Poster
- Readers: Everyone
SpreadsheetCoder: Formula Prediction from Semi-structured Context
Xinyun Chen, Petros Maniatis, Rishabh Singh, Charles Sutton, Hanjun Dai, Max Lin, Denny Zhou
- 28 Sept 2020 (modified: 12 Oct 2025)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone

View all 17 publications

Co-Authors

View all 65 co-authors