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Profil bibliographique

Simon Chess

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

6Publications signalées
0Citations signalées
3Affiliations récentes

Les institutions déclarées

Les domaines associés

Logic, programming, and type systemsSoftware Engineering ResearchSoftware Testing and Debugging TechniquesPolynomial and algebraic computationConstraint Satisfaction and Optimization

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

Learned Interventions in Lean 4 grind

Evan Wang, Simon Chess, Sophie Szeto, Theodore Meek

Lean 4's grind tactic combines congruence closure, E-matching, and case-splitting into a single automated solver, and like any such solver, it relies on hand-tuned heuristics to decide what to instantiate and where to case-split. These heuristics are tempting targets for learning, but …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Learned Interventions in Lean 4 grind

Evan Wang, Simon Chess, Sophie Szeto, Theodore Meek

Lean 4's grind tactic combines congruence closure, E-matching, and case-splitting into a single automated solver, and like any such solver, it relies on hand-tuned heuristics to decide what to instantiate and where to case-split. These heuristics are tempting targets for learning, but …

us (code pays fourni par la source)

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Formalizing Numerical Analysis: An Agent Pipeline and Quality Audit Beyond Kernel Acceptance

Theodore Meek, Siyuan Ge, Di Qiu Xiang, Simon Chess et autres

Recent work has demonstrated that coding agents can formalize entire advanced mathematics textbooks in Lean 4, yet existing efforts concentrate on branches of mathematics already well-represented in mathlib and measure success solely through kernel acceptance. We address both limitations by applying a …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Formalizing Numerical Analysis: An Agent Pipeline and Quality Audit Beyond Kernel Acceptance

Theodore Meek, Siyuan Ge, Di Qiu Xiang, Simon Chess et autres

Recent work has demonstrated that coding agents can formalize entire advanced mathematics textbooks in Lean 4, yet existing efforts concentrate on branches of mathematics already well-represented in mathlib and measure success solely through kernel acceptance. We address both limitations by applying a …

us (code pays fourni par la source)

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Learning to Repair Lean Proofs from Compiler Feedback

Evan Wang, Simon Chess, Daniel Lee, Siyuan Ge et autres

As neural theorem provers become increasingly agentic, the ability to interpret and act on compiler feedback is critical. However, existing Lean datasets consist almost exclusively of correct proofs, offering little supervision for understanding and repairing failures. We study Lean proof repair as …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Learning to Repair Lean Proofs from Compiler Feedback

Evan Wang, Simon Chess, Daniel Lee, Siyuan Ge et autres

As neural theorem provers become increasingly agentic, the ability to interpret and act on compiler feedback is critical. However, existing Lean datasets consist almost exclusively of correct proofs, offering little supervision for understanding and repairing failures. We study Lean proof repair as …

us (code pays fourni par la source)

0 citations arXiv (Cornell University)

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