🧑‍🔬 Lovekesh Vig

🏛️ Affiliations

🏢Tata Consultancy ServicesPune · India2017–2026 · 119 paperscurrent🎓Jawaharlal Nehru UniversityNew Delhi · India2011–2017 · 17 papers🎓Vanderbilt UniversityNashville · United States2005–2007 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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. Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers (2025 · 11 citations)
   Peer review is increasingly strained as publication volume grows. Existing benchmarks for LLM-generated reviews mostly judge overall review quality and pay little attention to whether models can find a paper's real weaknesses. This work isolates that skill. The authors first build a taxonomy of limitation types for…
2. AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research (2025 · 9 citations)
   AbGen tests whether large language models can help scientists plan experiments, focusing on ablation study design.
3. Routing End User Queries to Enterprise Databases (2026)
   The paper studies database routing: given a natural-language question and a large set of enterprise databases, rank the databases by how likely each one can answer it.

All works

6 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. Translating Across Cultures: LLMs for Intralingual Cultural Adaptation ↗Proceedings of the 28th Conference on Computational Natural Language Learning · no summary yetPushpdeep Singh, Mayur Patidar, Lovekesh Vig2024 · 29 citations
2. Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research PapersAnnual Meeting of the Association for Computational Linguistics (ACL)Zhijian Xu, Yilun Zhao, Manasi Patwardhan, et al.2025 · 11 citations
3. IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery ↗arXiv:2504.16728 · no summary yetAniketh Garikaparthi et al.2025 · 11 citations
4. AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific ResearchAnnual Meeting of the Association for Computational Linguistics (ACL)Yilun Zhao, Weiyuan Chen, Zhijian Xu, et al.2025 · 9 citations
5. Program Synthesis for Complex QA on Charts via Probabilistic Grammar Based Filtered Iterative Back-Translation ↗Findings of the Association for Computational Linguistics: EACL 2023 · no summary yetShabbirhussain Bhaisaheb et al.2023 · 4 citations
6. Routing End User Queries to Enterprise DatabasesWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraSaikrishna Sudarshan, Tanay Kulkarni, Manasi Patwardhan, et al.2026

🤝 Co-authors here

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

• Manasi Patwardhan ×3
• Arman Cohan ×2
• Yilun Zhao ×2
• Zhijian Xu ×2
• Chengye Wang
• Yixin Liu

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 2025 ×2
• Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era: Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era 2026
• Findings of the Association for Computational Linguistics: EACL 2023
• Proceedings of the 28th Conference on Computational Natural Language Learning

🔗 Cited by

Papers of our library cite their works 41 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated 1 November 2026

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