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GDN Tree-Scan: Served Tree Verification for Recurrent-Hybrid Language Models
Tree speculative decoding verifies multiple candidate continuations in one target forward pass. For attention-only transformers, the verifier mainly needs an ancestry mask. Recurrent-hybrid language models break this assumption: a candidate row must also carry the recurrent state that native sequential decode would have produced along its root-to-node path. Otherwise, a verifier can use a correct attention mask while still conditioning on an impossible recurrent history. We present GDN Tree-Scan, a served verifier for Gated-DeltaNet hybrid language models integrated into vLLM. The system combi
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-20T22:21:01.000Z
First collected: 2026-09-23T09:51:33.063Z. This is not the publication date.