Two code-LLM papers accepted at EMNLP2026: behavior benchmark and self-verifying codegen
algo_diver · x · 2026-10-25
The author will present two papers at EMNLP2026 (titles visible in the attached images):
- "Do LLM-Generated Web Apps Behave Correctly?" — a contract-grounded benchmark measuring behavioral conformance of LLM-generated web apps, not just whether they run.
- "Learning to Code by Learning to Verify" — execution-grounded co-evolution of code generation and self-verification for more reliable code LLMs.
Authors are from HKUST (Guangzhou), HKUST, and ETRI.
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