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直接匹配不多,已補上最新動態。

Tag: #tracer1 results

TRACER Aggregates Risks in Agent Trajectories

TRACER Aggregates Risks in Agent Trajectories

TRACER is a trajectory-level uncertainty metric for tool-using agents, combining surprisal, repetition, and coherence signals with tail-focused aggregation. Improves AUROC by 37% and AUARC by 55% on tau^2-bench for failure prediction. Code and benchmark on GitHub.

ArXiv AIResearchFeb 13#research#tracer#ai-agents
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影像解析度會改變模型的類腦評估結果

一篇預印本指出,在 V1 比較中,評估影像解析度會大幅改變哪種 CNN 學習規則看起來最接近人腦。研究涵蓋六種影像解析度,發現未訓練模型在 V1 的表面優勢很大程度上是評估解析度造成的,而 backpropagation 在 LOC 仍保有優勢。

Reddit r/MachineLearningCommunity2h ago#visual-cortex#rsa