Thakker, Urmish

5 publications

ICLR 2026 Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models Qizheng Zhang, Changran Hu, Shubhangi Upasani, Boyuan Ma, Fenglu Hong, Vamsidhar Kamanuru, Jay Rainton, Chen Wu, Mengmeng Ji, Hanchen Li, Urmish Thakker, James Zou, Kunle Olukotun

ICLRW 2025 LLMs Know What to Drop: Self-Attention Guided KV Cache Eviction for Efficient Long-Context Inference Guangtao Wang, Shubhangi Upasani, Chen Wu, Darshan Gandhi, Jonathan Lingjie Li, Changran Hu, Bo Li, Urmish Thakker

ICLRW 2025 Training Domain Draft Models for Speculative Decoding: Best Practices and Insights Fenglu Hong, Ravi Shanker Raju, Jonathan Lingjie Li, Bo Li, Urmish Thakker, Avinash Ravichandran, Swayambhoo Jain, Changran Hu

ICLR 2022 Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh, Albert Webson, Colin Raffel, Stephen Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Fevry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, Alexander M Rush

CVPRW 2020 Ternary MobileNets via Per-Layer Hybrid Filter Banks Dibakar Gope, Jesse G. Beu, Urmish Thakker, Matthew Mattina