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Article: Agentic Fitness Functions: Extending Evolutionary Architecture Beyond Deterministic Rules
The article introduces 'agentic fitness functions' as a novel method to evaluate architectural decisions using AI agents and versioned rubrics, aiming to improve evolutionary architecture governance by addressing subjective, judgment-heavy concerns that deterministic rules cannot capture.
Aug 17, 2026
From Refuse to Richness: Rubric Rewards for Long-Form Hallucination Reinforcement Learning
A new reinforcement learning method uses question-specific key-point rubrics to balance factual grounding and informative coverage in long-form AI text generation, addressing the trade-off between refusing unsupported claims and delivering rich, useful answers.
Aug 14, 2026
RubricReviewer: From Direct Critique to Objective and Comprehensive Rubric-Driven Peer Review
RubricReviewer is a new LLM-based peer review framework that explicitly separates rubric generation from review writing to improve comprehensiveness, discriminative quality, and robustness against adversarial attacks on real-world submissions.
Aug 4, 2026