1 code implementation • 1 Feb 2024 • Weijie Xu, Zicheng Huang, Wenxiang Hu, Xi Fang, Rajesh Kumar Cherukuri, Naumaan Nayyar, Lorenzo Malandri, Srinivasan H. Sengamedu
The data generation pipeline is transferable and can be easily adapted for labeled conversation data generation in other domains.
no code implementations • 20 Dec 2023 • Zhaojian Yu, Xin Zhang, Ning Shang, Yangyu Huang, Can Xu, Yishujie Zhao, Wenxiang Hu, Qiufeng Yin
This paper thus offers a significant contribution to the field of instruction data generation and fine-tuning models, providing new insights and tools for enhancing performance in code-related tasks.
1 code implementation • 23 Oct 2023 • Weijie Xu, Wenxiang Hu, Fanyou Wu, Srinivasan Sengamedu
Additionally, by exploiting the power of diffusion model, our framework also provides the capability to do topic based text generation.
2 code implementations • 14 Jun 2023 • Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, QIngwei Lin, Daxin Jiang
Moreover, our model even outperforms the largest closed LLMs, Anthropic's Claude and Google's Bard, on HumanEval and HumanEval+.
Ranked #3 on Code Generation on CodeContests (Test Set pass@1 metric)