--- title: "Dinesh Garg — author profile and papers — Elamur Research" description: "Dinesh Garg, Honeywell: 3 papers on Elamur Research (2021–2026), h-index 15 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/dinesh-garg/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/dinesh-garg/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Dinesh Garg # Dinesh Garg Dinesh Garg has 3 papers in our library, in 2021–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Dinesh Khandelwal](https://md.research.elamur.ai/free/en/authors/dinesh-khandelwal/), [Parag Singla](https://md.research.elamur.ai/free/en/authors/parag-singla/), [Alfio Gliozzo](https://md.research.elamur.ai/free/en/authors/alfio-gliozzo/). 3 papers in our library · 2021–2026 [OpenAlex](https://openalex.org/A5109547753) · [**h-index 15**](https://openalex.org/authors/A5109547753) · [77 works](https://openalex.org/works?filter=author.id:A5109547753) · [771 citations](https://openalex.org/works?filter=author.id:A5109547753&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/dinesh-garg/#papers) · [🔗 Cited 196 times in our library](https://md.research.elamur.ai/free/en/authors/dinesh-garg/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4919](https://md.research.elamur.ai/free/en/paper-stars/page/50/#star-4919) 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=Dinesh+Garg) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Dinesh+Garg) · [dblp](https://dblp.org/search?q=Dinesh+Garg) · [ACL Anthology](https://aclanthology.org/search/?q=Dinesh+Garg) ## Affiliations [🏢**Honeywell** Charlotte · United States 2026 · 1 paper*current*](https://ror.org/02t71h845) · [🏢**IBM** Bengaluru · India 2007–2022 · 27 papers](https://md.research.elamur.ai/free/en/companies/ibm-india/) · [🏢**IBM** Armonk · United States 2014–2025 · 17 papers](https://md.research.elamur.ai/free/en/companies/ibm/) · [🔬**IBM Research - India** New Delhi · India 2007–2021 · 11 papers](https://md.research.elamur.ai/free/en/labs/ibm-research-india/) · [🎓**Indian Institute of Technology Gandhinagar** Gandhinagar · India 2016–2021 · 10 papers](https://md.research.elamur.ai/free/en/universities/indian-institute-of-technology-gandhinagar/) · [🎓**Indian Institute of Science Bangalore** Bengaluru · India 2005–2011 · 7 papers](https://md.research.elamur.ai/free/en/universities/indian-institute-of-science-bangalore/) · [🏢**Yahoo** Sunnyvale · United States 2009–2011 · 3 papers](https://md.research.elamur.ai/free/en/companies/yahoo/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 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/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 5 Research subjects and languages the work is about.[Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Semantic parsing & meaning representation · 1 work](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Semantics · 1 work](https://md.research.elamur.ai/free/en/concepts/semantics/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/dinesh-garg/year/2026/) · [**2021** 2 papers](https://md.research.elamur.ai/free/en/authors/dinesh-garg/year/2021/) ## Papers The most cited first (OpenAlex and our library). 1. **[Explanations for CommonsenseQA: New Dataset and Models](https://md.research.elamur.ai/free/en/papers/aggarwal-2021-explanations-commonsenseqa-new-dataset-models/)** *(2021 · 164 citations)* Most work on CommonsenseQA (CQA) aims only at picking the right answer. This paper instead asks how to explain a known gold answer, independent of any model. The authors define four desired qualities of a good explanation: comprehensive, refutation complete, minimal, and coherent. In practice, an explanation becomes… 2. **[Leveraging Abstract Meaning Representation for Knowledge Base Question Answering](https://md.research.elamur.ai/free/en/papers/kapanipathi-2021-leveraging-abstract-meaning-representation-knowledge/)** *(2021 · 141 citations)* The paper addresses knowledge base question answering (KBQA). Here a system must convert a natural-language question into a structured query, for example SPARQL, and find the answer among the facts in the knowledge base. The main challenges are complex multi-hop questions, the need for logical reasoning, and the lack… 3. **[LLMs are Brittle to Simple Code Transformations: Introducing CETBench – A Benchmark for Code-Equivalence Checking](https://md.research.elamur.ai/free/en/papers/oza-2026-llms-are-brittle-simple-code/)** *(2026)* The paper asks whether large language models can reliably tell if two programs are functionally equivalent, meaning they return identical outputs for every input. ## 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. **[Explanations for CommonsenseQA: New Dataset and Models](https://md.research.elamur.ai/free/en/papers/aggarwal-2021-explanations-commonsenseqa-new-dataset-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, et al.*2021 · 164 citations* 2. **[Leveraging Abstract Meaning Representation for Knowledge Base Question Answering](https://md.research.elamur.ai/free/en/papers/kapanipathi-2021-leveraging-abstract-meaning-representation-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, et al.*2021 · 141 citations* 3. **[Span Selection Pre-training for Question Answering ↗](https://aclanthology.org/2020.acl-main.247/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Michael Glass et al.*2020 · 94 citations* 4. **[LLMs are Brittle to Simple Code Transformations: Introducing CETBench – A Benchmark for Code-Equivalence Checking](https://md.research.elamur.ai/free/en/papers/oza-2026-llms-are-brittle-simple-code/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Neeva Oza, Ishaan Govil, Parul Gupta, et al.*2026* ## Co-authors here 6 co-authors with a page, the most papers together first. - [Dinesh Khandelwal](https://md.research.elamur.ai/free/en/authors/dinesh-khandelwal/) ×2 - [Parag Singla](https://md.research.elamur.ai/free/en/authors/parag-singla/) ×2 - [Alfio Gliozzo](https://md.research.elamur.ai/free/en/authors/alfio-gliozzo/) - [Ibrahim Abdelaziz](https://md.research.elamur.ai/free/en/authors/ibrahim-abdelaziz/) - [Ramón Fernandez Astudillo](https://md.research.elamur.ai/free/en/authors/ramon-fernandez-astudillo/) - [Salim Roukos](https://md.research.elamur.ai/free/en/authors/salim-roukos/) ## 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 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/), [Findings of the Association for Computational Linguistics 2021](https://md.research.elamur.ai/free/en/venues/findings/2021/) ## Cited by Papers of our library cite their works 196 times (of the 149,439 papers whose bibliographies we read); [25 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/dinesh-garg/cited-by/). Updated 1 November 2026