Visored is a controlled-natural-language prover for LLM math that automates omitted routine steps and emits checked Lean output, with early miniF2F results showing LLMs can use it without prover-specific training.
GFLean: An autoformalisation framework for Lean via GF
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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Semantic Gambit attack uses real-time LLM priors to overcome causal constraints in ASR, tripling corpus word error rate to 35.6%.
citing papers explorer
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Visored: A Controlled-Natural-Language Prover for LLM-Generated Mathematics
Visored is a controlled-natural-language prover for LLM math that automates omitted routine steps and emits checked Lean output, with early miniF2F results showing LLMs can use it without prover-specific training.
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Hearing the Unspoken: Language Model Priors for Acoustic Adversarial Attacks
Semantic Gambit attack uses real-time LLM priors to overcome causal constraints in ASR, tripling corpus word error rate to 35.6%.