activity
20192026
most citedLearning Neurosymbolic Generative Models via Program Synthesis

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2026

Theory Under Construction: Orchestrating Language Models for Research Software Where the Specification Evolves

Halley Young, Nikolaj Björner

Large language models can now generate substantial code and draft research text, but research-software projects require more than either artifact alone. The mathematical thesis, ex…

cs.PL2026

Sheaf-Cohomological Program Analysis: Unifying Bug Finding, Equivalence, and Verification via Čech Cohomology

Halley Young

We present a framework in which program analysis -- type checking, bug finding, and equivalence verification -- is organized as computing the Čech cohomology of a semantic presheaf…

cs.CL2024

Improving Structural Diversity of Blackbox LLMs via Chain-of-Specification Prompting

Halley Young, Yimeng Zeng, Jacob Gardner +1

The capability to generate diverse text is a key challenge facing large language models (LLMs). Thus far, diversity has been studied via metrics such as -gram diversity or diver…

cs.SD2023

Undecidability Results and Their Relevance in Modern Music Making

Halley Young

This paper delves into the intersection of computational theory and music, examining the concept of undecidability and its significant, yet overlooked, implications within the real…

cs.LG2019★ 5 cited

Learning Neurosymbolic Generative Models via Program Synthesis

Halley Young, Osbert Bastani, Mayur Naik

Significant strides have been made toward designing better generative models in recent years. Despite this progress, however, state-of-the-art approaches are still largely unable t…