Research map / Architectures and efficiency / RNNs and normalization
MineDraft: A Framework for Batch Parallel Speculative Decoding
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding (ICML 2026 · similarity 0.93)
- PEARL: Parallel Speculative Decoding with Adaptive Draft Length (ICLR 2025 · similarity 0.92)
- SpecBranch: Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism (ICLR 2026 · similarity 0.92)
- A Theoretical Perspective for Speculative Decoding Algorithm (NeurIPS 2024 · similarity 0.92)
- SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative Decoding (ICML 2026 · similarity 0.92)
- Speculative Speculative Decoding (ICLR 2026 · similarity 0.92)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.