activity
20162024
most citedThe Role of H2O and O2 Molecules and Phosphorus Vacancies in the Structure Instability of Phosphorene

127 citations · 255 across the 12 of their papers we have counts for

collaborators

16 papers

cond-mat.mtrl-sci20247 cited

Ferroelasticity in Two-Dimensional Hybrid RuddlesdenPopper Perovskites Mediated by Cross-Plane Intermolecular Coupling and Metastable Funnel-Like Phases

Devesh R. Kripalani, Qiye Guan, Hejin Yan +2

Ferroelasticity describes a phenomenon in which a material exhibits two or more equally stable orientation variants and can be switched from one form to another under an applied st…

cs.CV2024

Progressive Radiance Distillation for Inverse Rendering with Gaussian Splatting

Keyang Ye, Qiming Hou, Kun Zhou

We propose progressive radiance distillation, an inverse rendering method that combines physically-based rendering with Gaussian-based radiance field rendering using a distillation…

cs.CL20242 cited

Towards Effective and Efficient Continual Pre-training of Large Language Models

Jie Chen, Zhipeng Chen, Jiapeng Wang +16

Continual pre-training (CPT) has been an important approach for adapting language models to specific domains or tasks. To make the CPT approach more traceable, this paper presents…

cs.CL2024

YuLan: An Open-source Large Language Model

Yutao Zhu, Kun Zhou, Kelong Mao +35

Large language models (LLMs) have become the foundation of many applications, leveraging their extensive capabilities in processing and understanding natural language. While many o…

math.QA2024

Constructing Modular Tensor Categories with Hopf Algebras

Kun Zhou

A modular tensor category is a non-degenerate ribbon finite tensor category. And a ribbon factorizable Hopf algebra is exactly the Hopf algebra whose finite-dimensional representat…

cs.CL202413 cited

KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph

Jinhao Jiang, Kun Zhou, Wayne Xin Zhao +4

In this paper, we aim to improve the reasoning ability of large language models (LLMs) over knowledge graphs (KGs) to answer complex questions. Inspired by existing methods that de…