3 papers
cs.LG2024
Translating Expert Intuition into Quantifiable Features: Encode Investigator Domain Knowledge via LLM for Enhanced Predictive Analytics
Phoebe Jing, Yijing Gao, Yuanhang Zhang +1
In the realm of predictive analytics, the nuanced domain knowledge of investigators often remains underutilized, confined largely to subjective interpretations and ad hoc decision-…
cs.LG2024
A Customer Level Fraudulent Activity Detection Benchmark for Enhancing Machine Learning Model Research and Evaluation
Phoebe Jing, Yijing Gao, Xianlong Zeng
In the field of fraud detection, the availability of comprehensive and privacy-compliant datasets is crucial for advancing machine learning research and developing effective anti-f…
cs.CL2024
Similar Data Points Identification with LLM: A Human-in-the-loop Strategy Using Summarization and Hidden State Insights
Xianlong Zeng, Yijing Gao, Fanghao Song +1
This study introduces a simple yet effective method for identifying similar data points across non-free text domains, such as tabular and image data, using Large Language Models (L…