This work introduces the cliff token, a token at which the estimated probability of reaching the correct answer (success probability) drops beyond an adaptive threshold, and introduces a cliff taxonomy of deterministic, uncertain, and sampled-off cliffs, defined by greedy choice and token entropy.
This work introduces SAGE (Specialized Analyzer Group for Expert-like Detection), a multi-agent framework for evidence-grounded diagnosis of univariate time series, which achieves an average Point-F1 of 66.26, the highest among the evaluated methods.
H. Kang, Jeongseob Kim, Jinwoo Park et al.· arXiv.org· 1 citation· ⚡1
FinLifeBench is introduced, which evaluates two tasks over the same cumulative dialogue: reconstructing every life-event instance with its first-establishing session and reconstructing a complete 34-path financial state at consecutive checkpoints, and shows that models can localize evidence for recovered events while s...
Hangyeul Lee, Juyoung Oh, J. Ko et al.· 0 citations
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