Self-improving test-time intelligence: feedback-driven adaptation, learning, and scaling at inference
Read the original at arxiv.org→arXiv:2609.01679v1 Announce Type: new Abstract: The ability of AI systems to improve their behavior during deployment is becoming increasingly important. As inference moves beyond the static execution of a fixed...
Original headline: "A Survey on Self-Improving Test-Time Intelligence: Feedback-Driven Adapting, Learning, and Scaling at Inference"
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- Sep 3, 04:00 UTC arXiv cs.LG lead source A Survey on Self-Improving Test-Time Intelligence: Feedback-Driven Adapting, Learning, and Scaling at Inference