作者位次 #2/10ACL 2026Poster· Natural Language Processing
SLR : Automated Synthesis for Scalable Logical Reasoning
Lukas Helff · Ahmad Omar · Felix Friedrich · Antonia Wüst · Hikaru Shindo · Rupert Mitchell · Tim Woydt · Patrick Schramowski · Wolfgang Stammer · Kristian Kersting
摘要
We introduce SLR, an end-to-end framework for systematic evaluation and training of Large Language Models (LLMs) via Scalable Logical Reasoning. Given a user’s task specification, SLR automatically synthesizes (i) an instruction prompt for an inductive reasoning task, (ii) a validation program, e...