1c97890c09
Enables future re-extraction when KB has grown in relevant domains. Sources can be re-queued if last_attempted is stale relative to domain growth. Pentagon-Agent: Leo <14FF9C29-CABF-40C8-8808-B0B495D03FF8>
3.2 KiB
| type | title | author | url | date | domain | secondary_domains | format | status | last_attempted | priority | tags | processed_by | processed_date | enrichments_applied | extraction_model | extraction_notes | ||||||||
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| source | A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models | Various (arXiv 2504.07070) | https://arxiv.org/abs/2504.07070 | 2025-04-01 | ai-alignment | paper | null-result | 2026-03-11 | medium |
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theseus | 2025-04-11 |
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anthropic/claude-sonnet-4.5 | Survey paper extraction. Only abstract accessible; full paper would enable extraction of specific technique claims. Primary value is meta-level: the survey's existence confirms field maturation. Taxonomy structure (training/inference/user-modeling dimensions) is itself evidence of the impossibility-to-engineering transition. |
Content
Survey presenting taxonomy of preference alignment techniques:
- Training-time methods (RLHF variants, DPO variants, mixture approaches)
- Inference-time methods (steering, prompting, retrieval)
- User-modeling methods (profile-based, clustering, prototype-based)
Abstract only accessible via WebFetch. Full paper needed for comprehensive extraction.
Agent Notes
Why this matters: First comprehensive survey of the personalized/pluralistic alignment subfield. Useful for understanding the full landscape of approaches beyond the specific mechanisms we've found. What surprised me: The taxonomy exists — the field has matured enough for a survey paper. This confirms the "impossibility to engineering" transition. What I expected but didn't find: Full paper content not accessible via abstract page. Need to fetch the HTML version. KB connections: Meta-level support for the pattern that pluralistic alignment is transitioning from theory to engineering. Extraction hints: The taxonomy itself may be worth extracting as a claim about the maturation of the field. Context: April 2025 preprint. Survey format suggests the field has reached sufficient critical mass for systematization.
Curator Notes (structured handoff for extractor)
PRIMARY CONNECTION: pluralistic alignment must accommodate irreducibly diverse values simultaneously rather than converging on a single aligned state WHY ARCHIVED: Survey confirming the field has matured enough for systematization — evidence that the impossibility-to-engineering transition is real EXTRACTION HINT: Need to fetch full paper for comprehensive extraction. The taxonomy structure itself is the main contribution.
Key Facts
- arXiv 2504.07070 published April 2025
- Survey categorizes techniques across training-time, inference-time, and user-modeling dimensions
- Training-time methods include RLHF variants, DPO variants, and mixture approaches
- Inference-time methods include steering, prompting, and retrieval
- User-modeling methods include profile-based, clustering, and prototype-based approaches