RAG, Fine-Tuning & ContextAshwin Gerard Colaco, Nada Lahjouji

What to Keep, What to Forget published

Made by AIWritten by AI (Claude) from the source below. Check anything important against the source.How it's made

What to Keep, What to Forget published — frames KV cache management, prompt pruning and agent memory consolidation together as a rate-distortion problem

Why it matters

Organizes previously scattered research on context compression into a single theoretical framework

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

Paperarxiv.orghttps://arxiv.org/abs/2607.08032

Added in Week 35, 2026 · See that week

On the map — ② RAG, Fine-Tuning line

  1. Previous stopMartin and Roger publish Classifier Context Rot
  2. This recordWhat to Keep, What to Forget published
  3. Next stopKDDI Buffmee
See it on the map

Same week

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Nearby on the same axis

Diagnosing and Mitigating Context Rot in Long-horizon Search publishedPaperMartin and Roger publish Classifier Context RotPaperKDDI shares how it optimized its Buffmee RAG app on Google CloudOfficialSun et al. present AutoSearchPaper