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STRETCH (Self-Taught Reasoning Evolution via Targeted CHallenge), a unified framework inspired by cognitive scaffolding theory, introduces a dynamic Stretch Zone mechanism that continuously aligns question difficulty with the model's solving capability.
Agora is a framework that uses a confidence-calibrated auction to dynamically allocate tasks to expert models and tools, and treats reasoning steps as tradeable items, which bases allocation on calibrated competence rather than raw confidence.
It is argued that the IR community is well-positioned to advance this emerging problem setting, which is referred to as AgentSearch, by developing principled methods for representing, indexing, retrieving, and ranking AI agents and tools under multi-dimensional relevance criteria.
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