Reinforcement Learning from Human Feedback: A Statistical Perspective
arXiv 2604.02507•a3058bd966744949bc80560b72876cb6d3c008931ae02114766bfc4709bff065
adversarial-mlalignmentbyzantine-resiliencecorrupted-observationscovariate-shiftcritical-infrastructuredata-assimilationgromov-wassersteinlarge language modelslipschitz-regularitymodel-robustnessopen-source-repoprivacyrlhfsensor-networksstatistical-assumptionssupply-chain-risktrajectory-free-learningtransfer-learningunlabeled-data
Paper metadata
- arXiv ID
- 2604.02507
- Version
- Not specified by this published record
- Category
- Statistics — Machine Learning (stat.ML)
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Evidence and limitations
- Source ID
- arxiv_stat_ml
- Record identifier
- a3058bd966744949bc80560b72876cb6d3c008931ae02114766bfc4709bff065
- Enrichment time
- 2026-04-06T07:23:59Z
- AI-assisted enrichment
- Yes
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