ManiFoundation Model for General-Purpose Robotic Manipulation of Contact Synthesis with Arbitrary Objects and Robots

no code implementations • 11 May 2024 • Zhixuan Xu, Chongkai Gao, Zixuan Liu, Gang Yang, Chenrui Tie, Haozhuo Zheng, Haoyu Zhou, Weikun Peng, Debang Wang, Tianyi Chen, Zhouliang Yu, Lin Shao

Our work introduces a comprehensive framework to develop a foundation model for general robotic manipulation that formalizes a manipulation task as contact synthesis.

Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model

no code implementations • 5 Apr 2024 • Xinrun Du, Zhouliang Yu, Songyang Gao, Ding Pan, Yuyang Cheng, Ziyang Ma, Ruibin Yuan, Xingwei Qu, Jiaheng Liu, Tianyu Zheng, Xinchen Luo, Guorui Zhou, Binhang Yuan, Wenhu Chen, Jie Fu, Ge Zhang

In this study, we introduce CT-LLM, a 2B large language model (LLM) that illustrates a pivotal shift towards prioritizing the Chinese language in developing LLMs.

Language Modelling Large Language Model

CodeEditorBench: Evaluating Code Editing Capability of Large Language Models

no code implementations • 4 Apr 2024 • Jiawei Guo, Ziming Li, Xueling Liu, Kaijing Ma, Tianyu Zheng, Zhouliang Yu, Ding Pan, Yizhi Li, Ruibo Liu, Yue Wang, Shuyue Guo, Xingwei Qu, Xiang Yue, Ge Zhang, Wenhu Chen, Jie Fu

Large Language Models (LLMs) for code are rapidly evolving, with code editing emerging as a critical capability.

Code Generation

ASP: Learn a Universal Neural Solver!

1 code implementation • 1 Mar 2023 • Chenguang Wang, Zhouliang Yu, Stephen Mcaleer, Tianshu Yu, Yaodong Yang

Applying machine learning to combinatorial optimization problems has the potential to improve both efficiency and accuracy.

Combinatorial Optimization Traveling Salesman Problem