Madaan, Lovish

6 publications

ICLR 2026 Let's (not) Just Put Things in Context: Test-Time Training for Long-Context LLMs Rachit Bansal, Aston Zhang, Rishabh Tiwari, Lovish Madaan, Sai Surya Duvvuri, Fnu Devvrit, David Brandfonbrener, David Alvarez-Melis, Prajjwal Bhargava, Mihir Kale, Samy Jelassi

ICLR 2026 The Art of Scaling Reinforcement Learning Compute for LLMs Fnu Devvrit, Lovish Madaan, Rishabh Tiwari, Rachit Bansal, Sai Surya Duvvuri, Manzil Zaheer, Inderjit S Dhillon, David Brandfonbrener, Rishabh Agarwal

NeurIPS 2025 Beyond Verifiable Rewards: Scaling Reinforcement Learning in Language Models to Unverifiable Data Yunhao Tang, Sid Wang, Lovish Madaan, Remi Munos

NeurIPSW 2024 Quantifying Variance in Evaluation Benchmarks Lovish Madaan, Aaditya K Singh, Rylan Schaeffer, Andrew Poulton, Sanmi Koyejo, Pontus Stenetorp, Sharan Narang, Dieuwke Hupkes

ICLR 2023 Treeformer: Dense Gradient Trees for Efficient Attention Computation Lovish Madaan, Srinadh Bhojanapalli, Himanshu Jain, Prateek Jain

AAAI 2022 Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, Milind Tambe