Jiaxin Ju

most citedLarge Language Models for Scientific Synthesis, Inference and Explanation

12 citations · 12 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2025

$M^{2}$ LLM: Multi-view Molecular Representation Learning with Large Language Models

Jiaxin Ju, Yizhen Zheng, Huan Yee Koh +2

Accurate molecular property prediction is a critical challenge with wide-ranging applications in chemistry, materials science, and drug discovery. Molecular representation methods,…

cs.AI2023★ 12 cited

Large Language Models for Scientific Synthesis, Inference and Explanation

Yizhen Zheng, Huan Yee Koh, Jiaxin Ju +4

Large language models are a form of artificial intelligence systems whose primary knowledge consists of the statistical patterns, semantic relationships, and syntactical structures…

cs.AI2023

ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning

Linhao Luo, Jiaxin Ju, Bo Xiong +3

Logical rules are essential for uncovering the logical connections between relations, which could improve reasoning performance and provide interpretable results on knowledge graph…

M2LLM: Multi-view Molecular Representation Learning with Large Language Models

Large Language Models for Scientific Synthesis, Inference and Explanation

ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning

$M^{2}$ LLM: Multi-view Molecular Representation Learning with Large Language Models