2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Rethinking Uncertainty Evaluation in Large Language Models
Krish Matta, Atharv Naphade, Andy Zou
Calibration is the primary criterion for evaluating LLM confidence, but it is insufficient: it admits trivially incoherent estimators, depends on the evaluation distribution, and d…
cs.DS2023
Decomposition Based Refinement for the Network Interdiction Problem
Krish Matta, Xiaoyuan Liu, Ilya Safro
The shortest path network interdiction (SPNI) problem poses significant computational challenges due to its NP-hardness. Current solutions, primarily based on integer programming m…
cs.IR2021★ 2 cited
Accelerating COVID-19 research with graph mining and transformer-based learning
Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt +3
In 2020, the White House released the, "Call to Action to the Tech Community on New Machine Readable COVID-19 Dataset," wherein artificial intelligence experts are asked to collect…