7 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Harvest: Opportunistic Peer-to-Peer GPU Caching for LLM Inference
Nikhil Gopal, Kostis Kaffes
Large Language Model (LLM) inference is increasingly constrained by GPU memory capacity rather than compute throughput, driven by growing model sizes and the linear growth of the k…
cs.HC2023
Should you make your decisions on a WhIM? Data-Driven Decision making using a What-If Machine for Evaluation of Hypothetical Scenarios
Jessica Maria Echterhoff, Bhaskar Sen, Yifei Ren +1
What-if analysis can be used as a process in data-driven decision making to inspect the behavior of a complex system under some given hypothesis. We propose a What-If Machine that…
cs.CL2020★ 7 cited
Support-BERT: Predicting Quality of Question-Answer Pairs in MSDN using Deep Bidirectional Transformer
Bhaskar Sen, Nikhil Gopal, Xinwei Xue
Quality of questions and answers from community support websites (e.g. Microsoft Developers Network, Stackoverflow, Github, etc.) is difficult to define and a prediction model of q…