3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.AI2025★ 1 cited
Advancing AI Research Assistants with Expert-Involved Learning
Tianyu Liu, Simeng Han, Hanchen Wang +27
Large language models (LLMs) and large multimodal models (LMMs) promise to accelerate biomedical discovery, yet their reliability remains unclear. We introduce ARIEL (AI Research A…
cs.CL2021★ 2 cited
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders
Irene Li, Vanessa Yan, Tianxiao Li +2
Learning prerequisite chains is an essential task for efficiently acquiring knowledge in both known and unknown domains. For example, one may be an expert in the natural language p…
math.ST2020★ 3 cited
Local Two-Sample Testing over Graphs and Point-Clouds by Random-Walk Distributions
Boris Landa, Rihao Qu, Joseph Chang +1
Rejecting the null hypothesis in two-sample testing is a fundamental tool for scientific discovery. Yet, aside from concluding that two samples do not come from the same probabilit…