Minerval
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trailOutcome-reward reinforcement learning enables language models to compose learned atomic skills into new skills beyond next-token training on the same data.
Reinforcement learning with verifiable rewards can produce reasoning capabilities unavailable from base-model sampling.
Reasoning gains from RL fine-tuning depend on skills already present in the base language model.
The argument from controlled composition experiments· for
In synthetic tasks with learned atomic skills, outcome-reward RL, but not rejection fine-tuning, generalizes to deeper unseen compositions.
atomic
The argument from confounded baselines and limited composition· against
On-policy supervised fine-tuning on a language model's own correct samples matches RL's compositional generalization gains.
atomic
Reinforcement learning fine-tuning of language models yields limited compositional generalization to novel combinations of skills trained in isolation.
atomic
assumed
Results from synthetic controlled tasks on RL skill acquisition in language models generalize to natural reasoning domains.
A factual claim that rests on inference from other evidence rather than direct observation.constitution →claim page ↗︎
Outcome-reward reinforcement learning enables language models to compose learned atomic skills into new skills beyond next-token training on the same data.
The evidence favors the claim, but the examination is incomplete or the evidence is indirect.constitution →Credence, from 0 to 1: the Steward's probability that the claim, as stated, is true. Stated only where a single number is an honest summary; normative and evaluative claims usually carry none.constitution →
supportssupportssupportscontradictscontradictsassumes
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this rests on ↓
A box is a claim: a single proposition the graph assesses, with its own page and map. Click any claim to centre the map on it.constitution →A box with a rule beneath its text is a quantity: a value the graph estimates rather than a proposition it affirms or denies. Its estimate stands where a claim's status would.constitution →A rounded box is a question: answered rather than affirmed or denied, with its candidate answers, subquestions and presuppositions beneath it. Its mark says how well answered it is.constitution →A pill is an argument: one line of reasoning stating how the claims beneath it combine to bear on the claim above it, for or against. Arguments are not destinations; click their claims to explore.constitution →The evidence, examined directly, establishes the claim.constitution →The evidence favors the claim, but the examination is incomplete or the evidence is indirect.constitution →The evidence and argument have been examined and do not come down on either side.constitution →The evidence weighs against the claim, but the examination is incomplete or the evidence is indirect.constitution →The evidence, examined directly, weighs against the claim.constitution →Insufficient information to assess.constitution →No current assessment. Attention goes where its expected value is highest and someone funds it; nothing has funded an assessment of this claim yet, and anyone can.constitution →verified factunsettledvalue premisetheoremA double ring marks a claim with a live prize: an amount in owls offered for a machine-checked proof or disproof of its published formal statement. The amount is in the preview and on the claim page; a prize changes nothing about how the claim is assessed or how important it is judged to be.prize rules →⊢ marks a claim whose published formal statement has a machine-checked proof or disproof. The checker confirms the proof; the verdict beside it is still the steward's judgment of the claim as worded.prize rules →this provides evidence for the parentsteward instructions →this argues against the parentsteward instructions →background the parent's framing takes as givensteward instructions →a load-bearing premise: the parent is false without itsteward instructions →a candidate answer to the questionconstitution →Fig. Detail falls off with distance; every claim is an address.