212 citations
- Xi'an Jiaotong UniversityCN4 papers
- Xidian UniversityCN4 papers
- Northwestern Polytechnical UniversityCN3 papers
- Beijing Institute of TechnologyCN2 papers
- Fudan UniversityCN2 papers
- State Key Laboratory of Solidification Processing2 papers
- Tsinghua UniversityCN2 papers
- Academia SinicaTW1 paper
- Beihang UniversityCN1 paper
- Beijing Academy of Artificial IntelligenceCN1 paper
- Beijing Advanced Sciences and Innovation CenterCN1 paper
- Beijing Information Science & Technology UniversityCN1 paper
16 papers
Combating Knowledge Corruption in Agent Systems: A Byzantine-Tolerant Secure Collaborative RAG Framework
Zhaoqi Wang, Daqing He, Zijian Zhang +13
While retrieval-augmented generation systems partially address the hallucination issues in large language models, it also introduces new vulnerabilities to knowledge corruption att…
QCBench: Evaluating Large Language Models on Domain-Specific Quantitative Chemistry
Jiaqing Xie, Weida Wang, Ben Gao +5
Quantitative chemistry is central to modern chemical research, yet the ability of large language models (LLMs) to perform its rigorous, step-by-step calculations remains underexplo…
Galaxy and halo properties around cosmic filaments from Sloan Digital Sky Survey Data Release 7 and the ELUCID simulation
Youcai Zhang, Xiaohu Yang, Hong Guo +2
Using galaxies from the Sloan Digital Sky Survey Data Release 7 (SDSS DR7) along with haloes from the dark matter only constrained ELUCID (Exploring the Local Universe with the reC…
Blockchain Security Risk Assessment in Quantum Era, Migration Strategies and Proactive Defense
Yaser Baseri, Abdelhakim Hafid, Yahya Shahsavari +2
The emergence of quantum computing presents a formidable challenge to the security of blockchain systems. Traditional cryptographic algorithms, foundational to digital signatures,…
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors
Kunkun Hao, Yonggang Luo, Wen Cui +5
Evaluating the decision-making system is indispensable in developing autonomous vehicles, while realistic and challenging safety-critical test scenarios play a crucial role. Obtain…
Generalized Multi-kernel Maximum Correntropy Kalman Filter for Disturbance Estimation
Shilei Li, Dawei Shi, Yunjiang Lou +2
Disturbance observers have been attracting continuing research efforts and are widely used in many applications. Among them, the Kalman filter-based disturbance observer is an attr…