🧑‍🔬 Dinesh Garg

🏛️ Affiliations

🏢HoneywellCharlotte · United States2026 · 1 papercurrent🏢IBMBengaluru · India2007–2022 · 27 papers🏢IBMArmonk · United States2014–2025 · 17 papers🔬IBM Research - IndiaNew Delhi · India2007–2021 · 11 papers🎓Indian Institute of Technology GandhinagarGandhinagar · India2016–2021 · 10 papers🎓Indian Institute of Science BangaloreBengaluru · India2005–2011 · 7 papers🏢YahooSunnyvale · United States2009–2011 · 3 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Explanations for CommonsenseQA: New Dataset and 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 (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 (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 ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, et al.2021 · 164 citations
2. Leveraging Abstract Meaning Representation for Knowledge Base Question AnsweringFindings of the Association for Computational LinguisticsPavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, et al.2021 · 141 citations
3. Span Selection Pre-training for Question Answering ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetMichael Glass et al.2020 · 94 citations
4. LLMs are Brittle to Simple Code Transformations: Introducing CETBench – A Benchmark for Code-Equivalence CheckingFindings of the Association for Computational LinguisticsNeeva Oza, Ishaan Govil, Parul Gupta, et al.2026

🤝 Co-authors here

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

• Dinesh Khandelwal ×2
• Parag Singla ×2
• Alfio Gliozzo
• Ibrahim Abdelaziz
• Ramón Fernandez Astudillo
• 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) ×2: ACL 2021
• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026, Findings of the Association for Computational Linguistics 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 →.

Updated 1 November 2026

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