🧑‍🔬 Manas Gaur

🏛️ Affiliations

🎓University of Maryland, Baltimore CountyBaltimore · United States2022–2026 · 49 papersEmployment since 2022 · Assistant Professor, Computer Science and Electrical Engineeringcurrent🎓University of Maryland, BaltimoreBaltimore · United States2024–2026 · 2 paperscurrent🎓University of Maryland ExtensionBaltimore · United States2026 · 1 papercurrent🎓University of South CarolinaColumbia · United States2016–2022 · 36 papersEmployment 2016–2022 · Research Assistant, Artificial Intelligence Institute🎓Wright State UniversityDayton · United States2017–2022 · 13 papers🎓Delhi Technological UniversityNew Delhi · India2014–2019 · 5 papers

🏛️SUNY The State University of New YorkColumbia · United States2016–2022Education 2016–2022 · Ph.D, AI Institute, Dept. of Computer Science

🏛️Delhi Technological University (Delhi College of Engineering)Delhi · India2013–2015Education 2013–2015 · Master of Technology, Computer Science and Engineering

🏛️Delhi Technological University Department of Computer EngineeringDelhi · India2013–2015Employment 2013–2015 · Teaching Assistant, Computer Science and Engineering

🏛️National University of Singapore School of ComputingSingapore · Singapore2015Employment 2015 · Summer Research Student, Schools of Computing

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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. Beyond Memorization: Testing LLM Reasoning on Unseen Theory of Computation Tasks (2026)
   The paper asks whether LLMs that perform well on formal-language problems actually reason symbolically or mostly reproduce constructions they saw during training.
2. Experiments or Outcomes? Probing Scientific Feasibility in Large Language Models (2026)
   LLMs are increasingly used in research pipelines, but it is unclear how well they judge whether a scientific claim is feasible, meaning whether it fits existing knowledge and can be tested experimentally.
3. IMRNNs: An Efficient Method for Interpretable Dense Retrieval via Embedding Modulation (2026)
   Dense retrievers in RAG pipelines encode queries and documents into fixed vectors on their own. As a result, a document's representation cannot change depending on the query, and users cannot see why a document was ranked highly. The authors present IMRNNs, a lightweight add-on that works over a frozen encoder.…

All works

4 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. NeuroSymbolic AI for Legal AI-TRISM: Trustworthy, Reliable, Interpretable, Safe Models ↗arXiv:2606.15646 · no summary yetDeepa Tilwani et al.2026 · 1 citation
2. Beyond Memorization: Testing LLM Reasoning on Unseen Theory of Computation TasksFindings of the Association for Computational LinguisticsShlok Shelat, Jay Raval, Souvik Roy, et al.2026
3. Experiments or Outcomes? Probing Scientific Feasibility in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Seyedali Mohammadi, Manas Gaur, Francis Ferraro2026
4. IMRNNs: An Efficient Method for Interpretable Dense Retrieval via Embedding ModulationFindings of the Association for Computational LinguisticsYash Saxena, Ankur Padia, Kalpa Gunaratna, et al.2026

🤝 Co-authors here

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

• Francis Ferraro
• Kalpa Gunaratna
• Seyedali Mohammadi

Venues

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

• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026

🔗 Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/manas-gaur/