100 citations
- Peking UniversityCN5 papers
- University of Chinese Academy of SciencesCN4 papers
- Chinese Academy of SciencesCN3 papers
- SP Technology (South Korea)KR3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Institute of Applied Physics and Computational MathematicsCN2 papers
- Princeton UniversityUS2 papers
- Sorbonne UniversitéFR2 papers
- Stanford UniversityUS2 papers
- University of Science and Technology of ChinaCN2 papers
- AIRI - Artificial Intelligence Research InstituteRU1 paper
- Alpha Omega Alpha Medical Honor SocietyUS1 paper
23 papers
Prior Knowledge or Search? A Study of LLM Agents in Hardware-Aware Code Optimization
Dmitry Redko, Albert Fazlyev, Konstantin Sozykin +3
LLM discovery and optimization systems are increasingly applied across domains, implementing a common propose-evaluate-revise loop. Such optimization or discovery progresses via co…
Semantic State Abstraction Interfaces for LLM-Augmented Portfolio Decisions: Multi-Axis News Decomposition and RL Diagnostics
Likhita Yerra, Remi Uttejitha Allam
We introduce Semantic State Abstraction Interfaces (SSAI): a methodological template for mapping sparse unstructured text into auditable, named coordinates with neutral default…
Human Motion Video Generation: A Survey
Haiwei Xue, Xiangyang Luo, Zhanghao Hu +12
Human motion video generation has garnered significant research interest due to its broad applications, enabling innovations such as photorealistic singing heads or dynamic avatars…
RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks
Eduard Tulchinskii, Daria Voronkova, Ilya Trofimov +2
Topological methods for comparing weighted graphs are valuable in various learning tasks but often suffer from computational inefficiency on large datasets. We introduce RTD-Lite,…
DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials
Jinzhe Zeng, Duo Zhang, Anyang Peng +44
In recent years, machine learning potentials (MLPs) have become indispensable tools in physics, chemistry, and materials science, driving the development of software packages for m…
Deep variational free energy prediction of dense hydrogen solid at 1200K
Xinyang Dong, Hao Xie, Yixiao Chen +4
We perform deep variational free energy calculations to investigate the dense hydrogen system at 1200 K and high pressures. In this computational framework, neural networks are use…