arXiv (All)
open access
Revisiting Lossy Verification in Speculative Decoding: Mechanisms, Trade-offs, and Failure Modes
Speculative Decoding (SD) accelerates large language model inference by allowing a lightweight draft model to propose tokens that are subsequently verified in parallel by a larger target model. Recent approaches introduce lossy verification schemes to further improve efficiency by relaxing strict di
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Less Experts, Faster Decoding: Cost-Aware Speculative Decoding for Mixture-of-Experts#366224
- Verification-Aware Training for Speculative Decoding#799360
- Verification-Aware Training for Speculative Decoding#797937
- CAST: Cost-Aware Speculative Trees from One-Pass Block Drafters#1154944
- JuDi: Revisiting Judge Decoding from First Principles via Training-Free Distributional Divergence#1117293
Record · ID 927402
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive