Anirudh Ajith
Predoctoral Researcher @ Allen Institute for AI
Hello! I am a predoctoral researcher at the Allen Institute for AI, where I work with Dr. Doug Downey on problems related to automating scientific discovery and predicting the trajectory of future science.
Before joining Ai2, I graduated with a Master's degree from Princeton University where I was fortunate to start my research career working with professors Karthik Narasimhan and Danqi Chen on LLM-related topics like in-context learning, context window expansion, detecting leakage of undesirable text into pretraining data, and retrieval.
During my undergraduate studies at IIT Madras, I worked with Dr. Mitesh Khapra and Dr. Pratyush Kumar (as a member of AI4Bharat) on improving bitext mining for Indic languages.
Thus far, my research has primarily been focused on (1) expanding the set of problems that LLMs can solve by addressing their key contemporary limitations, and (2) developing principled techniques for ensuring that the real-world deployment of these systems can take place in socially responsible ways.
Going forward, I am excited to work on applications of LLM-based systems to scientific and mathematical domains, including frameworks that employ formal verification to bootstrap generation and aid in search. I want to help build systems that are capable of superhuman mathematical theorem-proving, compositional multi-step reasoning, and can serve as valuable tools—or even partners—in STEM research.
News
- Feb 2026 PreScience preprint released.
- Sep 2024 LitSearch accepted to EMNLP 2024. Downstream Tradeoffs of LLM Watermarking accepted to EMNLP Findings 2024.
- Aug 2024 Started as a Predoctoral Researcher at the Allen Institute for AI.
- Mar 2024 InstructEval accepted to Findings of NAACL 2024.
- Jan 2024 Detecting Pretraining Data from LLMs accepted at ICLR 2024.
- Oct 2023 AutoCompressors accepted at EMNLP 2023.
- Sep 2022 Joined Princeton NLP as a Master's student.