Rubricon generates LLM rubrics without human preference labels
Rubric scores align 9% more with expert rubrics than the best compared synthetic method, and lift Qwen3.5-9B on HealthBench.
9 stories, newest first · one card per story
Rubric scores align 9% more with expert rubrics than the best compared synthetic method, and lift Qwen3.5-9B on HealthBench.
Built from 3,079 Chinese financial reports across 99 types, judge pipelines agreed at kappa 0.71 and ranking tau 0.87.
Models were scored on 809 questions and 5,012 rubric criteria covering safety, validity, and personalization.
Against the base policy, win rate rises from 10.6% to 68.0% on RubricHub-Medical and to 74.1% on HealthBench.
On two text benchmarks, SERA beat recursive-agent baselines by 5.38 and 13.14 points on average.
Rubric-privileged on-policy distillation before RL beat SFT-then-RL on health and science benchmarks.
FinAutoRubric generates expert-guided, cutoff-aware rubrics for evaluating financial research agents.
Rubric Response Theory turns rubric verdicts into scalar RL rewards and cuts judge calls while beating GRPO.
ImpossibleRubrics benchmark shows LLM-generated rubric reward signals are exploited 8-26% of the time by adversarial answers on impossible tasks.
Today 1.5K readers · 2.4K views · 754 reads · all time 189K views