🧑‍🔬 Chandan K. Reddy

🏛️ Affiliations

🎓Virginia TechBlacksburg · United States2016–2026 · 105 papersEmployment since 2016current🏢AmazonSeattle · United States2021–2026 · 7 paperscurrent🏢GoogleMountain View · United States2017–2026 · 7 paperscurrent🎓Wayne State UniversityDetroit · United States2007–2021 · 55 papers🏢MicrosoftRedmond · United States2019–2023 · 15 papers🎓The University of Texas at DallasRichardson · United States2015–2019 · 13 papers🎓Cornell UniversityIthaca · United States2003–2007 · 3 papersEducation 2003–2007 · PhD, Computer Engineering🔬IBM Research - Thomas J. Watson Research CenterYorktown Heights · United States2007–2009 · 2 papers

🏛️Virginia Polytechnic Institute and State University College of EngineeringArlington · United States2020Employment since 2020 · Professor, Computer Science

🏛️Virginia Polytechnic Institute and State University College of EngineeringUnited States2020Employment since 2020

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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

📄 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. LLM-SR: Scientific Equation Discovery via Programming with Large Language Models (2024 · 47 citations)
   Symbolic regression aims to recover compact, interpretable formulas from observations. The search space is combinatorially huge (the task is NP-hard), and classic tools such as genetic programming over expression trees ignore the domain knowledge that human scientists bring. LLM-SR addresses this by asking a large…
3. 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.
4. LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models (2025 · 18 citations)
   Benchmarks for symbolic regression, such as Feynman, SRBench and SRSD, mostly contain textbook physics laws.
5. SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training (2023 · 8 citations)
   Deep learning models for mathematics usually handle either symbolic expressions or numeric data, and they are typically trained with supervision for one specific task.

All works

10 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. Machine Learning for Survival Analysis ↗ACM Computing Surveys · no summary yetPing Wang, Yan Li, Chandan K. A. Reddy2019 · 693 citations
2. The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results ↗Interspeech (USB) · no summary yetChandan K. A. Reddy et al.2020 · 370 citations
3. A Scalable Noisy Speech Dataset and Online Subjective Test Framework ↗Interspeech (USB) · no summary yetChandan K. A. Reddy et al.2019 · 154 citations
4. Question Answering with Long Multiple-Span Answers ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetMing Zhu et al.2020 · 95 citations
5. XLCoST: A Benchmark Dataset for Cross-lingual Code IntelligencearXiv:2206.08474Ming Zhu, Aneesh Jain, Karthik Suresh, et al.2022 · 58 citations
6. LLM-SR: Scientific Equation Discovery via Programming with Large Language ModelsarXiv:2404.18400Parshin Shojaee, Kazem Meidani, Shashank Gupta, et al.2024 · 47 citations
7. Execution-based Code Generation using Deep Reinforcement LearningTransactions on Machine Learning ResearchParshin Shojaee, Aneesh Jain, Sindhu Tipirneni, et al.2023 · 47 citations
8. LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language ModelsarXiv:2504.10415Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani, et al.2025 · 18 citations
9. H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables ↗Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetNikhil Abhyankar et al.2025 · 18 citations
10. SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-trainingarXiv:2310.02227Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, et al.2023 · 8 citations

🤝 Co-authors here

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

• Parshin Shojaee ×4
• Amir Barati Farimani ×3
• Kazem Meidani ×3
• Aneesh Jain ×2
• Sindhu Tipirneni ×2
• Ming Zhu
• Shashank Gupta

Venues

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

• Interspeech (USB) ×2
• Transactions on Machine Learning Research: Transactions on Machine Learning Research 2023
• ACM Computing Surveys
• Findings of the Association for Computational Linguistics: EMNLP 2020
• Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

🔗 Cited by

Papers of our library cite their works 208 times (of the 149,439 papers whose bibliographies we read); 55 citing papers with a page here →.

Updated 3 November 2026

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