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Review Oct 2026

MetaShare: Failure-Aware Collective Self-Improvement for Open-Ended Agents

Humans often learn fastest not by repeating success, but by remembering which failures not to repeat. Open-ended self-improving agents can share experience across lineages, as in GEA, or edit their own improvement mechanisms, as in DGM-Hyperagents, yet failed improvement attempts are rarely retained as reusable cross-b...

Vishal Bhutani, Prasang Gupta, Sumanth Chundru et al. · 0 citations
#artificial intelligence Conference Open access Jun 2026

Litmus: Zero-Label, Code-Driven Metric Specification for Evaluating AI Systems

Litmus is a zero-label system that designs evaluation and monitoring metrics for AI pipelines by eliciting evaluation intent from source code and targeted interrogation, and results support a shift from automatic metric implementation to automatic metric specification.

Prajjwal Gupta, Prasang Gupta, Vishal Bhutani et al. · 0 citations

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