Yun Liu

Large language models encode clinical knowledge

2023 · Nature

Abstract Large language models (LLMs) have demonstrated impressive capabilities, but the bar for clinical applications is high. Attempts to assess the clinical knowledge of models typically rely on automated evaluations based on limited benchmarks. Here, …

MDBSCAN

2016

With the rapid development of information technology, more and more complex data has been produced. It has practical significance to mine valuable information from the complex data. Clustering is an important research in the field …

Transferring Knowledge from Text to Predict Disease Onset

2016 · arXiv (Cornell University)

In many domains such as medicine, training data is in short supply. In such cases, external knowledge is often helpful in building predictive models. We propose a novel method to incorporate publicly available domain expertise …

A Byzantine Fault-Tolerant Raft Algorithm Combined with Schnorr Signature

2021

To optimize the Byzantine fault tolerance of Raft algorithm, a Byzantine fault-tolerant B-Raft algorithm combined with Schnorr signature mechanism is proposed. First, during leader election, followers are required to sign the ballot to prevent the …

CORE4D: A 4D Human-Object-Human Interaction Dataset for Collaborative Object REarrangement

2024 · arXiv (Cornell University)

Understanding how humans cooperatively rearrange household objects is critical for VR/AR and human-robot interaction. However, in-depth studies on modeling these behaviors are under-researched due to the lack of relevant datasets. We fill this gap by …