RECAST (MIT and Google, with authors including Yilun Hao and Craig Boutilier) trains a Qwen3.5-9B router with fine-tuning and then GRPO to choose lexical, semantic or SQL search primitives, or to write new code that a frozen compiler model turns into a too...
VQV Signal
RESEARCH
WATCH
TECHNICAL
Google Research's RECAST teaches a small router model to pick retrieval tools or write its own
RECAST (MIT and Google, with authors including Yilun Hao and Craig Boutilier) trains a Qwen3.5-9B router with fine-tuning and then GRPO to choose lexical, semantic or SQL search primitives, or to write new code that a frozen compiler model turns into a too...
RECAST (MIT and Google, with authors including Yilun Hao and Craig Boutilier) trains a Qwen3.5-9B router with fine-tuning and then GRPO to choose lexical, semantic or SQL search primitives, or to write new code that a frozen compiler model turns into a tool. The paper reports 75.6% average success across six...
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Signal Strength 90%
Technical label WATCH
Public Interest 36
Category RESEARCH
Reader Depth TECHNICAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 0
Practical Impact Score 28
Novelty Interest Score 94
Consequence Score 34
Curiosity Score 16
Shareability Score 50
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