Draft:Kartik Mehta
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Comment: The link to the IEEE senior member does not confirm he is a member of the IEEE Ibjaja055 (talk) 05:02, 12 November 2025 (UTC)
 | This is a draft article. It is a work in progress open to editing by anyone. Please ensure core content policies are met before publishing it as a live Wikipedia article. Find sources: Google (books · news · scholar · free images · WP refs) · FENS · JSTOR · TWL Last edited by Vodnir (talk | contribs) 18 days ago. (Update)
This draft has been submitted and is currently awaiting review. |
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Kartik Mehta | |
|---|---|
| File:Kartik Mehta portrait.jpg Kartik Mehta in 2025 | |
| Born | India |
| Alma mater | Indian Institute of Technology Delhi |
| Known for | Research on large language models, FLAMES, DeCRIM, DiCoRe |
| Scientific career | |
| Fields | Artificial intelligence, Natural language processing, Large language models |
| Institutions | Amazon AGI |
| Website | https://kartikmehta.me |
Kartik Mehta is an Indian computer scientist and Senior Applied Scientist at Amazon AGI, best known for his research on large language models, natural language processing, and generative artificial intelligence. He leads post-training and evaluation efforts for the Amazon Nova family of frontier models.[1][2]
Education
[edit]Mehta received his Bachelor of Technology and Master of Technology degrees in Machine Learning from the Indian Institute of Technology Delhi.[3]
Career and research
[edit]At Amazon AGI, Mehta works on advancing reasoning and alignment capabilities in large language models. His papers have appeared in venues such as the EMNLP and the NAACL.
Notable works include:
- FLAMES — Improving LLM Math Reasoning via Fine-Grained Analysis of the Data Synthesis Pipeline (EMNLP 2025).[4]
- DiCoRe — Enhancing Zero-Shot Event Detection via Divergent-Convergent LLM Reasoning (EMNLP 2025).[5]
- DeCRIM — LLM Self-Correction through Decompose, Critique, and Refine (EMNLP 2024).[6]
He holds a United States patent for an entity-extraction system deployed at scale within Amazon.[7]
Professional service
[edit]Mehta serves as a reviewer for major AI and NLP conferences including ACL, EMNLP, NAACL, ICML, and COLM. He has also served as a judge for Amazon’s research competitions such as the Alexa Prize and the Amazon Nova AI Challenge.[8]
Recognition
[edit]Mehta has been recognized as an IEEE Senior Member for professional excellence and contributions to applied AI research.[9]
References
[edit]- ^ "Amazon Nova models compete with ChatGPT, Google, Microsoft". Fortune. 3 December 2024. Retrieved 11 November 2025.
- ^ "Amazon launches Nova Premier, its largest AI model yet". TechCrunch. 30 April 2025. Retrieved 11 November 2025.
- ^ "IIT Delhi Alumni Directory". Retrieved 11 November 2025.
- ^ Seegmiller, Parker; Mehta, Kartik; Saha, Soumya; Tao, Chenyang; Oraby, Shereen; Gupta, Arpit; Chung, Tagyoung; Bansal, Mohit; Peng, Nanyun (2025). FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline. pp. 24746–24766. doi:10.18653/v1/2025.findings-emnlp.1346. ISBN 979-8-89176-335-7. Retrieved 11 November 2025.
{{cite book}}:|work=ignored (help) - ^ Parekh, Tanmay; Mehta, Kartik; Mehrabi, Ninareh; Chang, Kai-Wei; Peng, Nanyun (2025). DiCoRe: Enhancing Zero-Shot Event Detection via Divergent-Convergent LLM Reasoning. pp. 20571–20593. doi:10.18653/v1/2025.emnlp-main.1038. ISBN 979-8-89176-332-6. Retrieved 11 November 2025.
{{cite book}}:|work=ignored (help) - ^ "LLM Self-Correction with DeCRIM". ACL Anthology: 7773–7812. November 2024. doi:10.18653/v1/2024.findings-emnlp.458. Retrieved 11 November 2025.
- ^ "US Patent 12,190,063: Machine Reading Comprehension-Based Named Entity Recognition". Retrieved 11 November 2025.
- ^ "Amazon Nova AI Challenge". Retrieved 11 November 2025.
- ^ "IEEE Senior Member Program". Institute of Electrical and Electronics Engineers (IEEE). Retrieved 11 November 2025.
External links
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