Shankar Padmanabhan

According to our database, Shankar Padmanabhan authored at least 5 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Updating Parametric Knowledge with Context Distillation Retains Post-Training Capabilities.

Shankar Padmanabhan, Mustafa Omer Gul, Tanya Goyal

CoRR, February, 2026

2025

Breadcrumbs Reasoning: Memory-Efficient Reasoning with Compression Beacons.

Giovanni Monea, Yair Feldman, Shankar Padmanabhan, Kianté Brantley, Yoav Artzi

CoRR, October, 2025

2023

Propagating Knowledge Updates to LMs Through Distillation.

Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge.

Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021

Optimal Placement of Public Electric Vehicle Charging Stations Using Deep Reinforcement Learning.

Aidan Petratos, Allen Ting, Shankar Padmanabhan, Kristina Zhou, Dylan Hageman, Jesse R. Pisel, Michael J. Pyrcz

CoRR, 2021