Lab Notes
2026
Paper explainer · August 2026
IDEAgent: Agentic Quality-Diversity Search
IDEAgent treats research ideation as a set-building problem: find more ideas that are both high-quality and genuinely different.
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Paper explainer · May 2026
Toward Efficient Data-Centric Training, Part II
PODS asks how much data a model should see over training, turning selection ratio into a dynamic scheduling signal.
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Paper explainer · May 2026
Toward Efficient Data-Centric Training, Part I
Data Agent learns a training-aware policy for selecting useful data as the target model evolves.
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Paper explainer · May 2026
δ-mem: Efficient Online Memory for Large Language Models
A note on why LLM memory should be more than long context, and how a compact online state can directly modulate attention.
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