2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Surgical Alignment in Knowledge Graph Training for Clinical Diagnosis with Large Language Models
Saksham Khatwani, He Cheng, Majid Afshar +2
Biomedical knowledge graphs (KGs) offer structured medical knowledge that can ground large language model (LLM) reasoning in clinical diagnosis application, yet how KG signal shoul…
cs.CL2025
Brittleness and Promise: Knowledge Graph Based Reward Modeling for Diagnostic Reasoning
Saksham Khatwani, He Cheng, Majid Afshar +2
Large language models (LLMs) show promise for diagnostic reasoning but often lack reliable, knowledge grounded inference. Knowledge graphs (KGs), such as the Unified Medical Langua…
cs.LG2020★ 2 cited
Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs
Kian Ahrabian, Daniel Tarlow, Hehuimin Cheng +1
We present a multi-relational temporal Knowledge Graph based on the daily interactions between artifacts in GitHub, one of the largest social coding platforms. Such representation…