Lovish Madaan - RankMe

16 papers A* 2C 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Correlating and Predicting Human Evaluations of Language Models from Natural Language Processing Benchmarks. CoRR Rylan Schaeffer, Punit Singh Koura, Binh Tang, Ranjan Subramanian, Aaditya K. Singh, Todor Mihaylov, Prajjwal Bhargava, Lovish Madaan, Niladri S. Chatterji, Vedanuj Goswami, Sergey Edunov, Dieuwke Hupkes, Sanmi Koyejo, Sharan Narang
2025	J	`jnl`	Let's (not) just put things in Context: Test-Time Training for Long-Context LLMs. CoRR Rachit Bansal, Aston Zhang, Rishabh Tiwari, Lovish Madaan, Sai Surya Duvvuri, Devvrit Khatri, David Brandfonbrener, David Alvarez-Melis, Prajjwal Bhargava, Mihir Sanjay Kale, Samy Jelassi
2025	—	`conf`	Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models. NAACL (Long Papers) Lovish Madaan, David Esiobu, Pontus Stenetorp, Barbara Plank, Dieuwke Hupkes
2025	J	`jnl`	MLGym: A New Framework and Benchmark for Advancing AI Research Agents. CoRR Deepak Nathani, Lovish Madaan, Nicholas Roberts, Nikolay Bashlykov, Ajay Menon, Vincent Moens, Amar Budhiraja, Despoina Magka, Vladislav Vorotilov, Gaurav Chaurasia, Dieuwke Hupkes, Ricardo Silveira Cabral, Tatiana Shavrina, Jakob N. Foerster, Yoram Bachrach, William Yang Wang, Roberta Raileanu
2025	J	`jnl`	Rethinking Thinking Tokens: LLMs as Improvement Operators. CoRR Lovish Madaan, Aniket Didolkar, Suchin Gururangan, John Quan, Ruan Silva, Ruslan Salakhutdinov, Manzil Zaheer, Sanjeev Arora, Anirudh Goyal
2025	J	`jnl`	The Art of Scaling Reinforcement Learning Compute for LLMs. CoRR Devvrit Khatri, Lovish Madaan, Rishabh Tiwari, Rachit Bansal, Sai Surya Duvvuri, Manzil Zaheer, Inderjit S. Dhillon, David Brandfonbrener, Rishabh Agarwal
2024	J	`jnl`	HARP: A challenging human-annotated math reasoning benchmark. CoRR Albert S. Yue, Lovish Madaan, Ted Moskovitz, DJ Strouse, Aaditya K. Singh
2024	J	`jnl`	Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models. CoRR Lovish Madaan, David Esiobu, Pontus Stenetorp, Barbara Plank, Dieuwke Hupkes
2024	J	`jnl`	Quantifying Variance in Evaluation Benchmarks. CoRR Lovish Madaan, Aaditya K. Singh, Rylan Schaeffer, Andrew Poulton, Sanmi Koyejo, Pontus Stenetorp, Sharan Narang, Dieuwke Hupkes
2023	A*	`conf`	Treeformer: Dense Gradient Trees for Efficient Attention Computation. ICLR Lovish Madaan, Srinadh Bhojanapalli, Himanshu Jain, Prateek Jain
2022	A*	`conf`	Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health. AAAI Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, Milind Tambe
2022	J	`jnl`	Treeformer: Dense Gradient Trees for Efficient Attention Computation. CoRR Lovish Madaan, Srinadh Bhojanapalli, Himanshu Jain, Prateek Jain
2021	J	`jnl`	Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health. CoRR Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, Milind Tambe
2021	J	`jnl`	Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes. CoRR Siddharth Nishtala, Lovish Madaan, Aditya Mate, Harshavardhan Kamarthi, Anirudh Grama, Divy Thakkar, Dhyanesh Narayanan, Suresh Chaudhary, Neha Madhiwalla, Ramesh Padmanabhan, Aparna Hegde, Pradeep Varakantham, Balaraman Ravindran, Milind Tambe
2020	—	`conf`	Transfer Learning for Related Languages: Submissions to the WMT20 Similar Language Translation Task. WMT@EMNLP Lovish Madaan, Soumya Sharma, Parag Singla
2019	C	`conf`	Price forecasting & anomaly detection for agricultural commodities in India. COMPASS Lovish Madaan, Ankur Sharma, Praneet Khandelwal, Shivank Goel, Parag Singla, Aaditeshwar Seth