55 citations · 66 across the 3 of their papers we have counts for
3 papers
cs.AI2025
Sleep-time Compute: Beyond Inference Scaling at Test-time
Kevin Lin, Charlie Snell, Yu Wang +4
Scaling test-time compute has emerged as a key ingredient for enabling large language models (LLMs) to solve difficult problems, but comes with high latency and inference cost. We…
cs.AI2023★ 55 cited
MemGPT: Towards LLMs as Operating Systems
Charles Packer, Sarah Wooders, Kevin Lin +4
Large language models (LLMs) have revolutionized AI, but are constrained by limited context windows, hindering their utility in tasks like extended conversations and document analy…
cs.NI2022★ 11 cited
Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays
Paras Jain, Sam Kumar, Sarah Wooders +3
Cloud applications are increasingly distributing data across multiple regions and cloud providers. Unfortunately, wide-area bulk data transfers are often slow, bottlenecking applic…