ABD: Default Exception Abduction in Finite First Order Worlds
• ABD benchmark tests default‑exception abduction in finite first‑order logical worlds. • Models generate sparse exception formulas to restore satisfiability under abnormality pred
• ABD benchmark tests default‑exception abduction in finite first‑order logical worlds. • Models generate sparse exception formulas to restore satisfiability under abnormality pred
• INDUCTION benchmark tests finite-structure concept synthesis in first‑order logic across small relational worlds. • Models output a single logical formula that uniformly explains
• Cybersecurity researchers have disclosed details of a new cryptojacking campaign that uses pirated software bundles as lures to deploy a bespoke XMRig miner program on compromise
• How do you make the complex reality of chips and electronics accessible to a broad audience? • TU/e researcher Elles Raaijmakers believes an educational game can do just that. •
• Hi, I do not understand the way clang is using PHINodes in the second example below. • Let’s consider a condition: ((i < 5) || ((j < 5) || ((k < 5) || (l < 5)))) The resulting IR
• Computer Science > Artificial Intelligence [Submitted on 29 Jan 2026] Title:NL2LOGIC: AST-Guided Translation of Natural Language into First-Order Logic with Large Language Models
• Computer Science > Artificial Intelligence [Submitted on 29 Jan 2026] Title:NL2LOGIC: AST-Guided Translation of Natural Language into First-Order Logic with Large Language Models
• Computer Science > Artificial Intelligence [Submitted on 23 Jan 2026] Title:Scaling the Scaling Logic: Agentic Meta-Synthesis of Logic Reasoning View PDF HTML (experimental)Abstr
• How we mitigated a vulnerability in Cloudflareâ s ACME validation logic 2026-01-19 Hrushikesh Deshpande Andrew Mitchell Leland Garofalo This post was updated on January 20, 2026.
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• EEVblog 1720 - Mailbag: USSR Bonanza + Logic Training + $69 Logic Analyzer EEVblogNovember 14, 2025EEVblog,MailbagComments Offon EEVblog 1720 - Mailbag: USSR Bonanza + Logic Trai
• Language modeled as category L: objects are English expressions, morphisms are substring inclusions. • Category L captures syntax but lacks semantic depth, prompting richer categ