Llama-3.1-8B-TLDR-AbsoluteMaxmin

Absolute maxmin on the TL;DR panel.

Trained from meta-llama/Llama-3.1-8B-Instruct, which is also the reference policy and the initialisation. Objectives are scored by a prompted Qwen3-32B preference oracle, each pair queried in both presentation orders and swap-averaged. Within a panel every arm shares one response pool, one optimizer and a 300-step budget, and differs only in how the objectives are aggregated, so a difference between two arms is attributable to the aggregation rule.

Held-out surplus over the reference on 100 prompts, population scale (A_k = P_k - 1/2):

objective	surplus
coverage	+0.4264
faithfulness	+0.0098
conciseness	-0.1589
helpfulness	+0.3631
minimum	-0.1589
average	+0.1601

Bootstrap intervals and paired significance tests for this panel are in the paper's appendix. Benchmark generations for the UltraFeedback arms are at promotion/nbpo-benchmark-generations.

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