RAG, Fine-Tuning & ContextAkari Asai et al. (University of Washington, AI2, IBM Research)University of WashingtonAi2 (Allen Institute for AI)IBM

Self-RAG published

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Self-RAG published — using reflection tokens, the model decides for itself whether to retrieve and whether the evidence is relevant

Why it matters

The turning point that moved retrieval from a fixed pipeline to a decision made by the model

Source — Primary sources first; secondary reports are labelled “Press”

Paperarxiv.orghttps://arxiv.org/abs/2310.11511

Added in Week 35, 2026 · See that week

On the map — ② RAG, Fine-Tuning line

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  2. This recordSelf-RAG
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Same week

NVIDIA releases TensorRT-LLMOfficial

Nearby on the same axis

MemGPT publishedPaperOpenAI announces GPT-4 Turbo 128K and Assistants API RetrievalOfficialAnthropic releases Claude 2.1 with a 200K-token contextOfficialGreg Kamradt publishes the needle-in-a-haystack long-context recall stress testPress