collaborators

5 papers

cs.DC2026

Source-Bounded Exact Recovery over Docker's Logs API

Kelvin Amoaba

Docker can retain records that a collector misses before attachment or during downtime. A persisted read position does not by itself ensure recovery after lifecycle changes. We stu…

cs.AI2026

VCBench: Benchmarking LLMs in Venture Capital

Rick Chen, Joseph Ternasky, Afriyie Samuel Kwesi +7

Benchmarks such as SWE-bench and ARC-AGI demonstrate how shared datasets accelerate progress toward artificial general intelligence (AGI). We introduce VCBench, the first benchmark…

cs.AI2026

CoFEE: Reasoning Control for LLM-Based Feature Discovery

Maximilian Westermann, Ben Griffin, Aaron Ontoyin Yin +6

Feature discovery from complex unstructured data is fundamentally a reasoning problem: it requires identifying abstractions that are predictive of a target outcome while avoiding l…

cs.LG2026

From Stochastic Answers to Verifiable Reasoning: Interpretable Decision-Making with LLM-Generated Code

Anirudh Jaidev Mahesh, Ben Griffin, Fuat Alican +8

Large language models (LLMs) are increasingly used for high-stakes decision-making, yet existing approaches struggle to reconcile scalability, interpretability, and reproducibility…

cs.LG2025

From Limited Data to Rare-event Prediction: LLM-powered Feature Engineering and Multi-model Learning in Venture Capital

Mihir Kumar, Aaron Ontoyin Yin, Zakari Salifu +4

This paper presents a framework for predicting rare, high-impact outcomes by integrating large language models (LLMs) with a multi-model machine learning (ML) architecture. The app…