Goedel-Code-Prover: Hierarchical Proof Search for Open State-of-the-Art Code Verification
2026-03-23T08:51:51Z•097712e3711bf6a6d33c408e4a3fe66ab2eb767033d8de7be5455f6d28297ed2
IoTLLM-assisted-verificationLLVMLean4agentic-harnessesagentic-systemsbenchmarkscompetitive-programmingcompiler-bugsconfiguration-tuningdeveloper-toolsembedded-systemsfitness-landscape-analysisformal-verificationgaze-trackinghardware-in-the-loophierarchical-proof-searchhuman-AI-orchestrationhuman-in-the-loopprogram-comprehensionprogram-debuggingreinforcement-learningsoftware-engineering-educationsoftware-modernizationtest-driven-debugging
What happened
This collection of recent CS papers explores advances in applying LLMs and agentic systems to program reasoning, debugging, embedded development, and software delivery orchestration. Key results include: Goedel-Code-Prover (8B) using hierarchical decomposition and hybrid RL attains a 62.0% proof success rate on Lean4 code verification (2.6× improvement over the best baseline); DePro demonstrates LLM-guided, test-driven debugging that reduces human debugging attempts and time on competitive programming tasks; IoT-SkillsBench and a skills-based agent framework show that concise human-expert ‘技能’
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_se
- Record identifier
- 097712e3711bf6a6d33c408e4a3fe66ab2eb767033d8de7be5455f6d28297ed2
- Enrichment time
- 2026-03-23T08:51:51Z
- AI-assisted enrichment
- Yes
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