RADAR: Accelerate Large Language Model Inference With RL-Based Dynamic Draft Trees
cs.AI
Submitted: 2025-12-16
Updated: 2026-08-26
Code: https://github.com/minaduki-sora/RADAR
Terminology
Sources
- GPT-4 Technical Report
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Efficient Prompting via Dynamic In-Context Learning
- GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
- Accelerating Large Language Model Decoding with Speculative Sampling
- EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
- EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees
- Learning Harmonized Representations for Speculative Sampling
- Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
- Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding
- EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
- Training Verifiers to Solve Math Word Problems
- Program Synthesis with Large Language Models
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