You will find below a list of papers related to static code analysis done by deep learning models (especially LLM). You are welcome to contribute.

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Title	Org	Thread / Article / Video / Podcasts	Date
Mistral 7B	Mistral AI	Official blog post	10-2023
Retrieval meets Long Context Large Language Models	NVIDIA	@omarsar0	10-2023
CodePlan: Repository-level Coding using LLMs and Planning	Microsoft Research		09-2023
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models	CHUK, MIT		09-2023
XGen-7B Technical Report	Salesforce	Salesforce's blog post	09-2023
Code Llama: Open Foundation Models for Code	Meta	Meta's blog post	08-2023
Simple synthetic data reduces sycophancy in large language models	DeepMind	0xtotem	08-2023
PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback	Huawei Cloud, Chinese Academy Of Science, Peking		07-2023
Predicting Code Coverage Execution	Microsoft		07-2023
PUMA: Secure Inference of LLaMA-7B in Five Minutes	Ant Group (private, Alibaba)	Feral Machine	07-2023
On the Origin of LLMs: An Evolutionary Tree and Graph for 15,821 Large Language Models	Canyon Crest Academy, Stanford		07-2023
Lost in the Middle: How Language Models Use Long Contexts	Stanford, Berkeley	Deep Papers	07-2023
Focused Transformer: Contrastive Training for Context Scaling	IDEAS NCBR, Deep Mind		07-2023
LongNet: Scaling Transformers to 1,000,000,000 Tokens	Microsoft Research		07-2023
Textbooks are all you need	Microsoft Research	0xtotem	06-2023
RepoFusion: Training Code Models to Understand Your Repository	ServiceNow Research	DishaShrivasta9	06-2023
Do you still need a manual smart contract audit?	Imperial College London	HatforceSec	06-2023
Towards Automated Security Analysis of Smart Contracts based on Execution Property Graph	Imperial College London, Berkeley		05-2023
DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects	Sun Yat-sen University		05-2023