arXiv (OAI Expanded)
open access
ExecuCritic: Calibrated Critic Shaping for Code Generation with Verifiable Rewards
Execution feedback is a useful supervision signal for code models because unit tests are objective and directly measure program correctness. Its weakness is that an entire program is often reduced to one pass or fail bit, leaving RLVR to solve a difficult credit assignment problem. At the same time,
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- ExecuCritic: Calibrated Critic Shaping for Code Generation with Verifiable Rewards#919471
- Beyond Verbalized Confidence: Calibrating Reasoners with Differentiable Readouts#1129470
- Where the Verifier Fails: A Category-Level Audit of Reward Signals in RLVR#821295
- LSR-Ben: A Logical and Scientific Reasoning Benchmark for Evaluating Process Reward Models#1143744
- Learned Reporting Preferences in RLVR Can Conflict with the Current Request#1131788
Record · ID 1122625
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive