3 papers
cs.LG2025
Explainable AI in Big Data Fraud Detection
Ayush Jain, Rahul Kulkarni, Siyi Lin
Big Data has become central to modern applications in finance, insurance, and cybersecurity, enabling machine learning systems to perform large-scale risk assessments and fraud det…
cs.SE2025
Verification-Guided Context Optimization for Tool Calling via Hierarchical LLMs-as-Editors
Henger Li, Shuangjie You, Flavio Di Palo +2
Tool calling enables large language models (LLMs) to interact with external environments through tool invocation, providing a practical way to overcome the limitations of pretraini…
cs.LG2025
Train on Validation (ToV): Fast data selection with applications to fine-tuning
Ayush Jain, Andrea Montanari, Eren Sasoglu
State-of-the-art machine learning often follows a two-stage process: ~pre-training on large, general-purpose datasets; ~fine-tuning on task-specific data. In fine-tuning…