4 papers
Physics-governed executable modelling of triboelectric nanogenerators
Hongfa Zhao, Baiqiao Wang, Tiancong Zhao +7
Predictive modelling of triboelectric nanogenerators (TENGs) remains fragmented across analytical theories, finite-geometry solvers and disconnected simulation workflows. These dis…
SimVLA: A Simple VLA Baseline for Robotic Manipulation
Yuankai Luo, Woping Chen, Tong Liang +2
Vision-Language-Action (VLA) models have emerged as a promising paradigm for general-purpose robotic manipulation, leveraging large-scale pre-training to achieve strong performance…
Improved Supervised Fine-Tuning for Large Language Models to Mitigate Catastrophic Forgetting
Fei Ding, Baiqiao Wang
Supervised Fine-Tuning (SFT) is a critical step for enhancing the instruction-following capabilities of Large Language Models (LLMs) and adapting them to specialized domains. Howev…
Multi-Layer GRPO: Enhancing Reasoning and Self-Correction in Large Language Models
Fei Ding, Baiqiao Wang, Zijian Zeng +1
The Group Relative Policy Optimization (GRPO) algorithm has demonstrated considerable success in enhancing the reasoning capabilities of large language models (LLMs), as evidenced…