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  3. Code-A1: Adversarial Evolving of Code LLM and Test LLM via R
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Code-A1: Adversarial Evolving of Code LLM and Test LLM via Reinforcement Learning

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Compared to this week’s papers

Stale evidence

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: stale

Source paper: Code-A1: Adversarial Evolving of Code LLM and Test LLM via Reinforcement Learning

PDF: https://arxiv.org/pdf/2603.15611v1

Repository: https://github.com/ZJU-REAL/Code-A1

Source count: 0

Coverage: 50%

Last proof check: 2026-03-18T22:54:37.387Z

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Paper Mode

Code-A1: Adversarial Evolving of Code LLM and Test LLM via Reinforcement Learning

Overall score: 7/10
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Canonical Paper Receipt

Last verification: 2026-03-18T22:54:37.387Z

Freshness: stale

Proof: unverified

Repo: active

References: 0

Sources: 0

Coverage: 50%

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Dimensions overall score 7.0

GitHub Code Pulse

Stars
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Health
C
Last commit
3/17/2026
Forks
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Keep exploring

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Builds On This
Adaptive Confidence Gating in Multi-Agent Collaboration for Efficient and Optimized Code Generation
Score 3.0down
Prior Work
EvolveCoder: Evolving Test Cases via Adversarial Verification for Code Reinforcement Learning
Score 7.0stable
Prior Work
Enhancing LLM-Based Test Generation by Eliminating Covered Code
Score 7.0stable
Prior Work
CVeDRL: An Efficient Code Verifier via Difficulty-aware Reinforcement Learning
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Inference-Time Safety For Code LLMs Via Retrieval-Augmented Revision
Score 7.0stable
Higher Viability
ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning
Score 9.0up

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