A 13-point gap on the HAL agent leaderboard was produced by the grader.TAU-bench only scores an episode when it formally ends. A general-purpose agent often ended conversations another way, so about half its runs went ungraded and counted as failures. Graded offline under the same rule, it rose from 0.30 to 0.43, a tie, no rerun.A cell reading "accuracy 0.30, graded 51%" would have flagged it.https://arxiv.org/abs/2611.04399#MachineLearning #AIAgents #Benchmarks
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