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2,343 notes from my AI research vault, mapped by topic. Pick a topic to see its notes, or search.
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Notes on knowledge intensive tasks
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Contextual Information Policy Optimization for Search Agents
The researchers propose a new reinforcement learning framework called Contextual Information Policy Optimization (CIPO) to improve the reliability of search agents for knowledge-intensive tasks. CIPO encourages the use…
From Proprietary to Open-Source: Bridging the Distribution Gap via Multi-Agent Protocol Distillation in Agentic Search
Researchers propose Multi-Agent Protocol Distillation (MAPD), a method to bridge the gap between open-source and proprietary language models in solving knowledge-intensive tasks. MAPD uses a structured protocol as an…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
