GitHub

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards

@article{li2024rag, title={RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards}, author={Li, Xinze and Mei, Sen and Liu, Zhenghao and Yan, Yukun and Wang, Shuo and Yu, ...
GitHub

[NeurIPS 2024] GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats

We build our code on EG3D (https://github.com/NVlabs/eg3d) and 3D-GS (https://github.com/graphdeco-inria/gaussian-splatting). Please dependencies of those two ...
IEEE

RTL-Breaker: Assessing the Security of LLMs Against Backdoor Attacks on HDL Code Generation

Abstract: Large language models (LLMs) have demonstrated remarkable potential with code generation/completion tasks for hardware design. However, the reliance on such automation introduces critical ...
IEEE

The Impact of Prompt Programming on Function-Level Code Generation

Abstract: Large Language Models (LLMs) are increasingly used by software engineers for code generation. However, limitations of LLMs such as irrelevant or incorrect code have highlighted the need for ...