Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
by University of Washington / IBM AI Research / Allen AI · free · Last verified 2026-03-17
Introduces Self-RAG, a framework that trains a single LM to adaptively retrieve passages on demand, generate text, and critique its own outputs using special reflection tokens. Unlike standard RAG, Self-RAG decides when to retrieve and reflects on retrieved passages and generation quality, outperforming ChatGPT and standard RAG on diverse downstream tasks.
https://arxiv.org/abs/2310.11511 ↗B
B—Above Average
Adoption: B+Quality: A+Freshness: BCitations: AEngagement: F
Specifications
- License
- MIT
- Pricing
- free
- Capabilities
- adaptive-retrieval, self-critique, generation, factual-accuracy, reflection
- Integrations
- Use Cases
- question-answering, fact-checking, long-form-generation, research
- API Available
- No
- Tags
- rag, self-reflection, critique, adaptive-retrieval, generation
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
69.7Adoption
78
Quality
90
Freshness
67
Citations
82
Engagement
0
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