Exploring the Potential of Diffusion Large Language Models in Code Generation

arXiv:2509.11252 · cs.SE, cs.AI · Submitted 2025-09-14 · Read on arXiv

cs.SE, cs.AI

Submitted: 2025-09-14

Updated: 2026-09-13

Comments: Accepted by ACM TOSEM

Code: https://github.com/zhangyitonggg/dllm4code

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 26× in this paper · explained in 2 episodes
• Diffusion Model — 12× in this paper · explained in 8 episodes
• Diffusion Models — 12× in this paper · explained in 6 episodes
• Accuracy — 11× in this paper · explained in 1 episode
• KV cache — 4× in this paper · explained in 3 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Block Diffusion — 3× in this paper · explained in 2 episodes
• Iterative Refinement — 3× in this paper · explained in 3 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• GRPO — 2× in this paper · explained in 6 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 5 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Adaptive Mechanism — 1× in this paper · explained in 1 episode
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• GPT-4 Technical Report
• Program Synthesis with Large Language Models
• Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback
• Evaluating Large Language Models Trained on Code
• Scaling Diffusion Language Models via Adaptation from Autoregressive Models
• DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation
• DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
• Qwen2.5-Coder Technical Report
• CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging
• OpenAI o1 System Card
• A Survey on Large Language Models for Code Generation
• Mercury: Ultra-Fast Language Models Based on Diffusion
• aiXcoder-7B-v2: Training LLMs to Fully Utilize the Long Context in Repository-level Code Completion
• A Survey on Diffusion Language Models
• Discrete Diffusion VLA: Bringing Discrete Diffusion to Action Decoding in Vision-Language-Action Policies
• RepoQA: Evaluating Long Context Code Understanding
• LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs
• dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching
• Constrained Decoding of Diffusion LLMs with Context-Free Grammars
• Large Language Diffusion Models

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