--- title: "Chandan K. Reddy · Google — author profile and papers" description: "Chandan K. Reddy, Google: 5 papers on Elamur Research (2022–2025), h-index 49 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/chandan-k-reddy/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chandan-k-reddy/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chandan K. Reddy # Chandan K. Reddy Chandan K. Reddy has 5 papers in our library, in 2022–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Parshin Shojaee](https://md.research.elamur.ai/free/en/authors/parshin-shojaee/), [Amir Barati Farimani](https://md.research.elamur.ai/free/en/authors/amir-barati-farimani/), [Kazem Meidani](https://md.research.elamur.ai/free/en/authors/kazem-meidani/). 5 papers in our library · 2022–2025 [OpenAlex](https://openalex.org/A5001022750) · [ORCID](https://orcid.org/0000-0003-2839-3662) · [Wikidata](https://www.wikidata.org/wiki/Q51342684) · [**h-index 49**](https://openalex.org/authors/A5001022750) · [276 works](https://openalex.org/works?filter=author.id:A5001022750) · [8,583 citations](https://openalex.org/works?filter=author.id:A5001022750&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/chandan-k-reddy/#papers) · [🔗 Cited 208 times in our library](https://md.research.elamur.ai/free/en/authors/chandan-k-reddy/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7010](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7010) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Chandan+K.+Reddy) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chandan+K.+Reddy) · [dblp](https://dblp.org/search?q=Chandan+K.+Reddy) · [ACL Anthology](https://aclanthology.org/search/?q=Chandan+K.+Reddy) ## Affiliations [🎓**Virginia Tech** Blacksburg · United States 2016–2026 · 105 papersEmployment since 2016*current*](https://md.research.elamur.ai/free/en/universities/virginia-tech/) · [🏢**Amazon** Seattle · United States 2021–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/companies/amazon/) · [🏢**Google** Mountain View · United States 2017–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Wayne State University** Detroit · United States 2007–2021 · 55 papers](https://ror.org/01070mq45) · [🏢**Microsoft** Redmond · United States 2019–2023 · 15 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**The University of Texas at Dallas** Richardson · United States 2015–2019 · 13 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-dallas/) · [🎓**Cornell University** Ithaca · United States 2003–2007 · 3 papersEducation 2003–2007 · PhD, Computer Engineering](https://md.research.elamur.ai/free/en/universities/cornell-university/) · [🔬**IBM Research - Thomas J. Watson Research Center** Yorktown Heights · United States 2007–2009 · 2 papers](https://md.research.elamur.ai/free/en/labs/ibm-research-thomas-j-watson-research-center/) 🏛️**Virginia Polytechnic Institute and State University College of Engineering** Arlington · [United States](https://md.research.elamur.ai/free/en/countries/united-states/) 2020Employment since 2020 · Professor, Computer Science 🏛️**Virginia Polytechnic Institute and State University College of Engineering** [United States](https://md.research.elamur.ai/free/en/countries/united-states/) 2020Employment 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. 📚 Shelves 14 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Physics and Astronomy · 3 works](https://md.research.elamur.ai/free/en/shelves/physics-and-astronomy/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computational Theory and Mathematics · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Statistical and Nonlinear Physics · 3 works](https://md.research.elamur.ai/free/en/shelves/physics-and-astronomy/statistical-and-nonlinear-physics/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/) · [Materials Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/materials-chemistry/) · [Materials Science · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Modeling and Simulation · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/modeling-and-simulation/) 🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Code & programming languages · 2 works](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/chandan-k-reddy/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/chandan-k-reddy/year/2024/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/chandan-k-reddy/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/chandan-k-reddy/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence](https://md.research.elamur.ai/free/en/papers/zhu-2022-xlcost-benchmark-dataset-cross-lingual/)** *(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](https://md.research.elamur.ai/free/en/papers/shojaee-2024-llm-sr-scientific-equation/)** *(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](https://md.research.elamur.ai/free/en/papers/shojaee-2023-execution-based-code-generation-using/)** *(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](https://md.research.elamur.ai/free/en/papers/shojaee-2025-llm-srbench-new-benchmark/)** *(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](https://md.research.elamur.ai/free/en/papers/meidani-2023-snip-bridging-mathematical-symbolic-numeric/)** *(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 ↗](https://doi.org/10.1145/3214306) ACM Computing Surveys · no summary yet**Ping Wang, Yan Li, Chandan K. A. Reddy*2019 · 693 citations* 2. **[The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results ↗](https://doi.org/10.21437/interspeech.2020-3038) Interspeech (USB) · no summary yet**Chandan K. A. Reddy et al.*2020 · 370 citations* 3. **[A Scalable Noisy Speech Dataset and Online Subjective Test Framework ↗](https://doi.org/10.21437/interspeech.2019-3087) Interspeech (USB) · no summary yet**Chandan K. A. Reddy et al.*2019 · 154 citations* 4. **[Question Answering with Long Multiple-Span Answers ↗](https://aclanthology.org/2020.findings-emnlp.342/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Ming Zhu et al.*2020 · 95 citations* 5. [**XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence arXiv:2206.08474**Ming Zhu, Aneesh Jain, Karthik Suresh, et al.*2022 · 58 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2022-xlcost-benchmark-dataset-cross-lingual/) 6. [**LLM-SR: Scientific Equation Discovery via Programming with Large Language Models arXiv:2404.18400**Parshin Shojaee, Kazem Meidani, Shashank Gupta, et al.*2024 · 47 citations*](https://md.research.elamur.ai/free/en/papers/shojaee-2024-llm-sr-scientific-equation/) 7. **[Execution-based Code Generation using Deep Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/shojaee-2023-execution-based-code-generation-using/) [Transactions on Machine Learning Research](https://md.research.elamur.ai/free/en/venues/transactions-on-machine-learning-research/)**Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, et al.*2023 · 47 citations* 8. [**LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models arXiv:2504.10415**Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani, et al.*2025 · 18 citations*](https://md.research.elamur.ai/free/en/papers/shojaee-2025-llm-srbench-new-benchmark/) 9. **[H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables ↗](https://aclanthology.org/2025.naacl-long.445/) 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 yet**Nikhil Abhyankar et al.*2025 · 18 citations* 10. [**SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training arXiv:2310.02227**Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, et al.*2023 · 8 citations*](https://md.research.elamur.ai/free/en/papers/meidani-2023-snip-bridging-mathematical-symbolic-numeric/) ## Co-authors here 7 co-authors with a page, the most papers together first. - [Parshin Shojaee](https://md.research.elamur.ai/free/en/authors/parshin-shojaee/) ×4 - [Amir Barati Farimani](https://md.research.elamur.ai/free/en/authors/amir-barati-farimani/) ×3 - [Kazem Meidani](https://md.research.elamur.ai/free/en/authors/kazem-meidani/) ×3 - [Aneesh Jain](https://md.research.elamur.ai/free/en/authors/aneesh-jain/) ×2 - [Sindhu Tipirneni](https://md.research.elamur.ai/free/en/authors/sindhu-tipirneni/) ×2 - [Ming Zhu](https://md.research.elamur.ai/free/en/authors/ming-zhu/) - [Shashank Gupta](https://md.research.elamur.ai/free/en/authors/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](https://md.research.elamur.ai/free/en/venues/transactions-on-machine-learning-research/): [Transactions on Machine Learning Research 2023](https://md.research.elamur.ai/free/en/venues/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 →](https://md.research.elamur.ai/free/en/authors/chandan-k-reddy/cited-by/). Updated 3 November 2026