Unlocking Lossless Speedups in LLMs via Discrete Diffusion
cs.LG
Submitted: 2026-09-03
Updated: 2026-09-03
Code: https://github.com/GeeeekExplorer/nano-vllm
Project page: https://nvidia.github.io/TensorRT-LLM/developer-guide/perf-benchmarking.html
Terminology
Sources
- Program Synthesis with Large Language Models
- MathArena: Evaluating LLMs on Uncontaminated Math Competitions
- $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
- LLaDA2.1: Speeding Up Text Diffusion via Token Editing
- Accelerating Large Language Model Decoding with Speculative Sampling
- DFlash: Block Diffusion for Flash Speculative Decoding
- Beyond Benchmarks: MathArena as an Evaluation Platform for Mathematics with LLMs
- DiffusionGemma Technical Report
- Set Block Decoding is a Language Model Inference Accelerator
- GLM-5: from Vibe Coding to Agentic Engineering
- Better & Faster Large Language Models via Multi-token Prediction
- The Llama 3 Herd of Models
- Mamba: Linear-Time Sequence Modeling with Selective State Spaces
- OpenThoughts: Data Recipes for Reasoning Models
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Training Compute-Optimal Large Language Models
- Fast and Accurate Causal Parallel Decoding using Jacobi Forcing
- AA-Omniscience: Evaluating Cross-Domain Knowledge Reliability in Large Language Models
- EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts
- Kimi K3: Open Frontier Intelligence
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