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AgonAlpha is a new autonomous alpha discovery system that searches over verified research artifacts and uses an adversarial reviewer with veto authority plus pending-aware budget allocation. Deployments on WorldQuant BRAIN achieved high fitness and Sharpe scores while preserving full provenance.
Shared a prompt methodology based on LLM self-correction research, emphasizing that self-checking is limited without external feedback, and recommending progressively enhanced prompting strategies such as adversarial review.
This paper proposes TriAdReview, a triangular adversarial review architecture that uses two independent reviewer models (engineering and boundary perspectives) and a judging mechanism to iteratively improve a generator model's output for technical document generation. Experiments show a 10.1% overall improvement over single-model baselines, with strong gains in security audit, code generation, and architecture design, but a degradation on requirements analysis indicating task-dependent effectiveness.
The author open-sourced Sisyphus Academica, a self-coordinating swarm of over 20 specialized agents for producing publication-ready research papers with novelty engines and adversarial review to avoid hallucinated citations and AI-typical prose.