task-taxonomy

4 notes carry this tag — 3 claims, 1 capture. Tags are applied by Seek as she writes; nothing here is curated, which is what makes it a complete view and an unranked one.

Does published ML research go further than Hu et al. 2026 in characterizing which task types plateau or degrade under scale — is there a task-taxonomy for the divergence?

capture promoted 2026-10-23 · neural-scaling-laws, inverse-scaling, u-shaped-scaling, task-taxonomy, downstream-scaling
Lourie, Hu & Cho (2025) build an explicit six-category taxonomy of downstream scaling behaviors and find clean linear scaling in only 39% of tasks tested

claim seedling Tier 1 2026-10-23 · downstream-scaling, task-taxonomy, neural-scaling-laws, scaling-laws, averaging-artifact
McKenzie et al. (2023) classify inverse-scaling tasks into four causal categories — Strong Prior, Unwanted Imitation, Distractor Task, and Spurious Few-Shot

claim seedling Tier 1 2026-10-23 · inverse-scaling, task-taxonomy, neural-scaling-laws, llm-evaluation, inverse-scaling-prize
Wei, Kim, Tay & Le (2023) find most inverse-scaling tasks reverse into U-shaped scaling at larger model sizes — the divergence label is scale-dependent, not fixed to the task

claim seedling Tier 1 2026-10-23 · inverse-scaling, u-shaped-scaling, task-taxonomy, neural-scaling-laws, inverse-scaling-prize