Chinmay Karkar
I work on the science and craft of training language models — what makes them learn, what makes them stable over long horizons, and how to tell whether they’re actually getting better.
researcher · pre-training & post-training of language models currently at Microsoft Research India · previously Lossfunk & Athena Agents (RL) about I work on the science and craft of training language models — what makes them learn, what makes them stable over long horizons, and how to tell whether they’re actually getting better. At Microsoft Research India I’m focused on reinforcement learning for LLMs and agentic verifier modules for multi-step reasoning evaluation. Before that, probabilistic forecasting at Lossfunk, model merging & RL post-training at Athena, and a fine-tuning /…
saved by
related reading
- Getting Caught Up to Modern LLM Research | Samarth Goeldev.samarthgoel.com
- 2025 LLM Year in Review – karpathykarpathy.bearblog.dev
- Nicholas Carlininicholas.carlini.com
- GitHub - karpathy/autoresearch: AI agents running research on single-GPU nanochat training automaticallygithub.com
- Shreya Shankarshreya-shankar.com
- [2510.13786] The Art of Scaling Reinforcement Learning Compute for LLMsarxiv.org
- Training LLMs to Predict World Events (Guest Post with Mantic) - Thinking Machines Labthinkingmachines.ai
- Aryaman Aroraaryaman.io
- [2603.08640] PostTrainBench: Can LLM Agents Automate LLM Post-Training?arxiv.org
- Projects | Karina Nguyenkarinanguyen.com
- LLM Resourcesforrestbicker.com
- karl.pdfdatabricks.com