Unverified50% confidenceFactExact time
GLOBE is a training-free online early-stopping algorithm that determines when to stop generation by analyzing the geometric shape of the reasoning semantic trajectory.
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50%
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Long-term
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10/20/2026
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Related Claims
UnverifiedThe GLOBE framework stores optimization knowledge through explicit, field-partitioned behavior manuals, driving the agent to continuously self-evolve.62% similarUnverifiedGLOBE's early-stopping decision does not rely on single-step confidence or fixed heuristic rules but on geometric signals of the overall direction of the reasoning trajectory.61% similarUnverifiedPolyAI is exploring auto reasoning with adaptive budget inference, training the model to judge on its own the probability that stopping thinking within a latency budget will yield a good answer59% similarUnverifiedWorld models natively support offline learning, allowing agents to learn environment dynamics on collected historical data and plan repeatedly without continuous interaction with the real environment.58% similarUnverifiedThe paper "No-Regret Language Generation" proposes the theoretical framework of "no-regret generation", establishing regret-bound analysis akin to online prediction for language generation tasks.57% similar
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