We have 3 of 60 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
This paper introduces Magenta, a training-free agentic pipeline that, given only a natural-language problem, produces an answer, expresses it as a Lean 4 statement, and constructs a machine-checked proof, which achieves 100% accuracy across all evaluated olympiad benchmarks.
A new benchmark for AF faithfulness is proposed that is cheap to apply, sound under weak assumptions, and assesses both positive and negative examples, and measuring validity preservation on unperturbed steps and invalidity preservation on perturbed steps is applied.
AoA lifts the agent off source text and onto the abstract syntax tree (AST): the model supplies proofs as JSON representations of Minilang's AST and drives the prover through a tree-edit model that fuses proof operations and states into one proof tree, so each operation carries its own subgoal's state, readable directl...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
