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Public source attached
Source status for this paper in the current AISci reviewed snapshot.
- Primary source
- Association for Computing Machinery
- Correction status
- none
- Evidence coverage
- 1 sources / 1 publishers
- Last metadata check
- Jul 19, 2026
Open primary sourceAI Reading Notes
Core signal
Structured notes generated from source-linked AISci metadata. Treat them as a reading aid, not a substitute for the paper.
- Core signal
- Learning by Surprise: Adaptive Mitigation of Model Collapse in Large Language Models
- Field context
- Foundation Models and Agents
- People and labs
- Fosca Giannotti, Scuola Normale Superiore
- Why it matters
- Recent source-backed research output for AISci Stage A browsing.
- Limits to check
- AISci rank score does not assess scientific quality or citation impact.
Research Workflow
Research Workflow
Recommended next steps for turning this signal into research action.
- Read original source
- Check DOI/OpenAlex
- Open relationship graph
- Review people and labs
- Open linked event for AISci context
- Prepare journal-club PPT: AISci action coming next
- Plan replication checks: AISci action coming next
Relationship evidence
PRODUCED BYincoming82% confidence
Fosca GiannottiAuthor on Learning by Surprise: Adaptive Mitigation of Model Collapse in Large Language Models.
AUTHORED BYoutgoing82% confidence
ABOUT TOPICoutgoing82% confidence
Timeline
paperLearning by Surprise: Adaptive Mitigation of Model Collapse in Large Language Models