4 papers
Consistency evaluation of benchmarks used for causal discovery
Yuzhe Zhang, Chihui Chen, Lina Yao +1
In graphical causal model, causal discovery aims to construct a causal graph based on numerical data and domain knowledge in plain text. However, the evaluation of causal discovery…
Text to Query Plans for Question Answering on Large Tables
Yipeng Zhang, Chen Wang, Yuzhe Zhang +1
Efficient querying and analysis of large tabular datasets remain significant challenges, especially for users without expertise in programming languages like SQL. Text-to-SQL appro…
From Data to Action: Charting A Data-Driven Path to Combat Antimicrobial Resistance
Qian Fu, Yuzhe Zhang, Yanfeng Shu +3
Antimicrobial-resistant (AMR) microbes are a growing challenge in healthcare, rendering modern medicines ineffective. AMR arises from antibiotic production and bacterial evolution,…
Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models
Yuzhe Zhang, Yipeng Zhang, Yidong Gan +2
Causal graph recovery is traditionally done using statistical estimation-based methods or based on individual's knowledge about variables of interests. They often suffer from data…