--- title: "Neeraj Varshney — author profile and papers in our library" description: "Neeraj Varshney, National Institute of Standards and Technology: 3 papers on Elamur Research (2023–2024), h-index 22 — affiliations…" canonical: "https://research.elamur.ai/free/en/authors/neeraj-varshney/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/neeraj-varshney/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Neeraj Varshney # Neeraj Varshney Neeraj Varshney has 3 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Chitta Baral](https://md.research.elamur.ai/free/en/authors/chitta-baral/), [Mihir Parmar](https://md.research.elamur.ai/free/en/authors/mihir-parmar/), [Man Luo](https://md.research.elamur.ai/free/en/authors/man-luo/). 3 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5004217423) · [ORCID](https://orcid.org/0000-0003-0752-2103) · [**h-index 22**](https://openalex.org/authors/A5004217423) · [183 works](https://openalex.org/works?filter=author.id:A5004217423) · [1,999 citations](https://openalex.org/works?filter=author.id:A5004217423&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/neeraj-varshney/#papers) · [🔗 Cited 797 times in our library](https://md.research.elamur.ai/free/en/authors/neeraj-varshney/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6087](https://md.research.elamur.ai/free/en/paper-stars/page/61/#star-6087) 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=Neeraj+Varshney) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Neeraj+Varshney) · [dblp](https://dblp.org/search?q=Neeraj+Varshney) · [ACL Anthology](https://aclanthology.org/search/?q=Neeraj+Varshney) ## Affiliations [🎓**GLA University** Mathura · India 2019–2026 · 57 papers*current*](https://ror.org/05fnxgv12) · [🔬**National Institute of Standards and Technology** Gaithersburg · United States 2018–2026 · 34 papersEmployment since 2018 · Guest Researcher, Wireless Networks Division*current*](https://md.research.elamur.ai/free/en/labs/national-institute-of-standards-and-technology/) · [🏛️**Communications Technology Laboratory** Gaithersburg · United States 2022–2026 · 3 papers*current*](https://ror.org/015xey021) · [🎓**Arizona State University** Tempe · United States 2020–2025 · 38 papers](https://md.research.elamur.ai/free/en/universities/arizona-state-university/) · [🎓**Indian Institute of Technology Kanpur** Kanpur · India 2012–2021 · 23 papersEducation 2012–2018 · PhD, Electrical Engineering](https://md.research.elamur.ai/free/en/universities/indian-institute-of-technology-kanpur/) · [🎓**Punjab Technical University** Kapurthala Town · India 2021–2024 · 5 papers](https://ror.org/025kz2973) · [🏢**Prometheus** Sharon · United States 2023–2024 · 2 papers](https://ror.org/03r95z943) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/neeraj-varshney/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/neeraj-varshney/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models](https://md.research.elamur.ai/free/en/papers/parmar-2024-logicbench-systematic-evaluation-logical-reasoning/)** *(2024 · 93 citations)* Most logical reasoning benchmarks for LLMs either blend logic with other skills (LogiQA, ReClor) or stick to one logic type and a few rules such as modus ponens (FOLIO, ProntoQA). 2. **[Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models](https://md.research.elamur.ai/free/en/papers/patel-2024-multi-logieval-evaluating-multi-step/)** *(2024 · 39 citations)* Benchmarks for logical reasoning in LLMs usually test only single inference steps, rely on a few rules such as modus ponens, or cover only one kind of logic. 3. **[Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models](https://md.research.elamur.ai/free/en/papers/luo-2023-towards-logiglue-brief-survey-benchmark/)** *(2023 · 27 citations)* The paper asks how well language models handle logical reasoning expressed in natural language. Formal knowledge-representation systems needed heavy expert effort and did not scale. The authors first survey the field. They cover three reasoning types (deductive, inductive, abductive), the usual task formats, how… ## All works 5 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. **[Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks ↗](https://aclanthology.org/2022.emnlp-main.340/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yizhong Wang et al.*2022 · 849 citations* 2. **[NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks ↗](https://aclanthology.org/2022.acl-long.246/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Swaroop Mishra et al.*2022 · 197 citations* 3. **[LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models](https://md.research.elamur.ai/free/en/papers/parmar-2024-logicbench-systematic-evaluation-logical-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mihir Parmar, Nisarg Patel, Neeraj Varshney, et al.*2024 · 93 citations* 4. **[Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models](https://md.research.elamur.ai/free/en/papers/patel-2024-multi-logieval-evaluating-multi-step/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Nisarg Patel, Mohith Kulkarni, Mihir Parmar, et al.*2024 · 39 citations* 5. [**Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models arXiv:2310.00836**Man Luo, Shrinidhi Kumbhar, Ming shen, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/luo-2023-towards-logiglue-brief-survey-benchmark/) ## Co-authors here 7 co-authors with a page, the most papers together first. - [Chitta Baral](https://md.research.elamur.ai/free/en/authors/chitta-baral/) ×3 - [Mihir Parmar](https://md.research.elamur.ai/free/en/authors/mihir-parmar/) ×3 - [Man Luo](https://md.research.elamur.ai/free/en/authors/man-luo/) ×2 - [Mutsumi Nakamura](https://md.research.elamur.ai/free/en/authors/mutsumi-nakamura/) ×2 - [Nisarg Patel](https://md.research.elamur.ai/free/en/authors/nisarg-patel/) ×2 - [Arindam Mitra](https://md.research.elamur.ai/free/en/authors/arindam-mitra/) - [Shrinidhi Kumbhar](https://md.research.elamur.ai/free/en/authors/shrinidhi-kumbhar/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) ## Cited by Papers of our library cite their works 797 times (of the 149,439 papers whose bibliographies we read); [176 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/neeraj-varshney/cited-by/). Updated 30 October 2026