Llama-3.1-8B-AbsoluteMaxmin-baseline

Absolute-maxmin baseline: all weight on the objective with the smallest raw game value rather than the smallest surplus over the reference.

Trained from meta-llama/Llama-3.1-8B-Instruct, which is also the reference policy and the initialisation. Four objectives are scored on UltraFeedback prompts by a prompted Qwen3-32B preference oracle, each pair queried in both presentation orders and swap-averaged. Every arm in this release shares one pair set, one optimizer and a 300-step budget, and differs only in how the objectives are aggregated.

Held-out surplus over the reference on the 657-prompt panel (population scale):

objective surplus
instruction following -0.0434
truthfulness -0.0624
honesty -0.0512
helpfulness +0.0594
minimum -0.0624

For comparison, the bargaining solution reaches a minimum of +0.0391 on the same panel: promotion/Llama-3.1-8B-NBPO-600step. Generations for every arm are at promotion/nbpo-benchmark-generations.

Built with Llama. Use is subject to the Llama 3.1 Community License.

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