Deepak Nathani

22 papers A* 3A 1Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Group-Evolving Agents: Open-Ended Self-Improvement via Experience Sharing. CoRR Zhaotian Weng, Antonis Antoniades, Deepak Nathani, Zhen Zhang, Xiao Pu, Xin Eric Wang
2026	J	`jnl`	Procedural Generation of Algorithm Discovery Tasks in Machine Learning. CoRR Alexander David Goldie, Zilin Wang, Adrian Hayler, Deepak Nathani, Edan Toledo, Ken Thampiratwong, Aleksandra Kalisz, Michael Beukman, Alistair Letcher, Shashank Reddy, Clarisse Wibault, Theo Wolf, Charles O'Neill, Uljad Berdica, Nicholas Roberts, Saeed Rahmani, Hannah Erlebach, Roberta Raileanu, Shimon Whiteson, Jakob N. Foerster
2026	J	`jnl`	WildSci: Advancing Scientific Reasoning from In-the-Wild Literature. CoRR Tengxiao Liu, Deepak Nathani, Zekun Li, Kevin Yang, William Yang Wang
2025	J	`jnl`	Adversarial Training for Process Reward Models. CoRR Gurusha Juneja, Deepak Nathani, William Yang Wang
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`	Understanding the Effects of Domain Finetuning on LLMs. CoRR Eshaan Tanwar, Deepak Nathani, William Yang Wang, Tanmoy Chakraborty
2024	J	`jnl`	Automatically Correcting Large Language Models: Trans. Assoc. Comput. Linguistics Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang
2024	—	`conf`	Large language models as synthetic electronic health record data generators. CAI Madhurima Vardhan, Deepak Nathani, Swarnima Vardhan, Abhinav Aggarwal, Filippo Simini
2023	J	`jnl`	Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies. CoRR Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang
2023	A*	`conf`	MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models. EMNLP Deepak Nathani, David Wang, Liangming Pan, William Yang Wang
2023	J	`jnl`	MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models. CoRR Deepak Nathani, David Wang, Liangming Pan, William Yang Wang
2022	—	`conf`	Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings. ACL (1) Kalpesh Krishna, Deepak Nathani, Xavier Garcia, Bidisha Samanta, Partha Talukdar
2022	A	`conf`	Walking with PACE - Personalized and Automated Coaching Engine. UMAP Madhurima Vardhan, Narayan Hegde, Srujana Merugu, Shantanu Prabhat, Deepak Nathani, Martin Seneviratne, Nur Muhammad, Pranay Reddy, Sriram Lakshminarasimhan, Rahul Singh, Karina Lorenzana, Eshan Motwani, Partha Talukdar, Aravindan Raghuveer
2021	J	`jnl`	Few-shot Controllable Style Transfer for Low-Resource Settings: A Study in Indian Languages. CoRR Kalpesh Krishna, Deepak Nathani, Xavier Garcia, Bidisha Samanta, Partha Talukdar
2020	J	`jnl`	Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures. CoRR Jatin Chauhan, Deepak Nathani, Manohar Kaul
2020	A*	`conf`	Few-Shot Learning on graphs via super-Classes based on Graph spectral Measures. ICLR Jatin Chauhan, Deepak Nathani, Manohar Kaul
2019	—	`conf`	A Persistent Homology Perspective to the Link Prediction Problem. COMPLEX NETWORKS (1) Sumit Bhatia, Bapi Chatterjee, Deepak Nathani, Manohar Kaul
2019	—	`conf`	Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs. ACL (1) Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul
2019	J	`jnl`	Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs. CoRR Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul
2019	J	`jnl`	Solving Partial Assignment Problems using Random Clique Complexes. CoRR Charu Sharma, Deepak Nathani, Manohar Kaul
2018	A*	`conf`	Solving Partial Assignment Problems using Random Clique Complexes. ICML Charu Sharma, Deepak Nathani, Manohar Kaul
2018	J	`jnl`	Understanding and Predicting Links in Graphs: A Persistent Homology Perspective. CoRR Sumit Bhatia, Bapi Chatterjee, Deepak Nathani, Manohar Kaul