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...
VQV organizes public signals from inspectable sources. It does not independently verify the underlying report.
Signal Strength 91%
Technical label WATCH
Public Interest 34
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 20
Novelty Interest Score 94
Consequence Score 34
Curiosity Score 16
Shareability Score 49
VQV surfaced this signal because it is recent, relevant to AI Search, connected to Scobleizer News Pulse (X).
No login, cookies, social SDKs, or automatic posting.