Anima Anandkumar
Anima Anandkumar has 2 papers in our library, in 2020–2023, most of them on Language models & pretraining, Text generation, Reasoning; often with Aidan Swope, Alex Gu, Bryan Catanzaro.
OpenAlex · h-index 37 · 182 works · 5,612 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 507 citations in our library · 6 more in our library without a page yet · ⭐ Paper Star rank #3722
Affiliations
Concepts, shelves and topics
📚 Shelves 6 Artificial Intelligence · 2 works Arts and Humanities · 2 works Computer Science · 2 works Language and Linguistics · 2 works Computational Theory and Mathematics · 1 work Mathematics · 1 work
🧭 Topics 4 Language models & pretraining · 2 works Text generation · 1 work Information retrieval & search · 1 work Reasoning · 1 work
Works by year
2020s
Papers
- LeanDojo: Theorem Proving with Retrieval-Augmented Language Models (2023 · 248 citations)
Research on machine learning for formal theorem proving has been hard to reproduce and build on. Earlier LLM-based provers kept their code and training data private, and some needed thousands of GPU-days of compute. The authors respond with LeanDojo, an open toolkit for the Lean proof assistant. It uses Lean 3 by… - MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models (2020 · 157 citations)
Large pretrained language models write fluent text, but they are hard to steer and often lose logical coherence in tasks that depend on knowledge, such as story writing.
Also in our library
Co-authors here
- Aidan Swope
- Alex Gu
- Bryan Catanzaro
- Mohammad Shoeybi
- Mostofa Patwary
- Pascale Fung
- Peng Xu
- Rahul Chalamala
- Raul Puri
- Ryan Prenger
Cited by
Updated
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