Article Highlights
Updates every hour. Last Updated: 21-Jun-2026 00:15 ET (21-Jun-2026 04:15 GMT/UTC)
Chemical dissection of sterol and bile acid signaling via clickable photoaffinity probes
HEP Data Cooperation Journals- Journal
- Biophysics Reports
A comprehensive taxonomy for large language models
Higher Education PressSub-headline:RUC researchers and collaborators systematize prompt engineering techniques,building a multi-dimensional framework for generative AI optimization.
- Journal
- Frontiers of Computer Science
A survey on sequential recommendation: From classical models to LLM-powered systems
Higher Education PressSub-headline: Researchers from Shenzhen University and University of Queensland summarize the evolution of SR, exploring generative and long-term trends
- Journal
- Frontiers of Computer Science
Bridging logical gaps: Causal inference for robust multi-hop QA
Higher Education PressSub-headline: BIT researchers introduce CausalBridgeQA to tackle spurious correlations in complex multi-hop reasoning chains.
- Journal
- Frontiers of Computer Science
A smarter way to predict how tall girls will grow after menarche
Zhejiang University- Journal
- World Journal of Pediatrics
Semantic augmentation: A new paradigm for adaptive text-to-SQL refinement
Higher Education Press- Journal
- Frontiers of Computer Science
Recent advances in “top-down” synthesis strategies for single-atom catalysts
Science China PressA team of researchers from the University of Science and Technology of China (USTC) has published a comprehensive review in Science China Chemistry, highlighting the latest breakthroughs in "top-down" synthesis strategies for single-atom catalysts (SACs). Led by Prof. Huang Zhou and Prof. Yuen Wu from USTC’s Key Laboratory of Precision and Intelligent Chemistry and Deep Space Exploration Laboratory, the review systematically summarizes a decade of progress in the field, offering valuable insights for advancing SACs’ practical application.
- Journal
- Science China Chemistry
An approach for detecting encrypted malware traffic via fully convolutional masked autoencoders
Higher Education PressCybersecurity has always been the focus of Internet research. Malware refers to software intentionally designed to harm computer systems, networks, or users by stealing, corrupting data, disrupting operations, or gaining unauthorized access. Existing malware traffic detection techniques rely on a sufficient amount of labeled data readily available for model training, limiting the capability of transferring to new malware detection.
- Journal
- Frontiers of Computer Science
Traceable and revocable multi-authority ABE supporting decryption outsourcing and policy update for cloud data access control
Higher Education Press- Journal
- Frontiers of Computer Science