Progressive Alignment of Recommender Foundation Model through Multi-Phase Post-Training
2026-08-10T08:52:09Z•e672ef3e29844ad82aa41a60eeb1b0f4e1c03ee202723cfad8d287d6a37c6cab
AI-auditingRAGacademic-researchads-recommendationarXivfoundation-modelsgenerative-recommendationhybrid-retrievalinformation-retrievallegal-AIrankingrecommender-systems
What happened
This document is an arXiv CS/Information Retrieval feed containing research on recommender foundation models, legal retrieval-augmented generation, archival ontologies, music and cross-domain recommendation, ranking optimization, sequence compression for advertising, audits of AI venue recommendations, and exact adaptive hybrid retrieval. The material is academic and does not describe a security vulnerability, exploit, malicious campaign, or incident.
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_ir
- Record identifier
- e672ef3e29844ad82aa41a60eeb1b0f4e1c03ee202723cfad8d287d6a37c6cab
- Enrichment time
- 2026-08-10T08:52:09Z
- AI-assisted enrichment
- Yes
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