337 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN7 papers
- Beijing Normal UniversityCN4 papers
- Central University of Finance and EconomicsCN4 papers
- Peking UniversityCN4 papers
- Renmin University of ChinaCN4 papers
- Tohoku UniversityJP4 papers
- Beihang UniversityCN3 papers
- The University of Texas at San AntonioUS3 papers
- Academy of Mathematics and Systems ScienceCN2 papers
- Beijing University of Chemical TechnologyCN2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Hong Kong University of Science and TechnologyHK2 papers
7 papers · 1 filter
An Experimental Study of Satisfaction Response: Evaluation of Online Collaborative Learning
Xusen Cheng, Xueyin Wang, Jianqing Huang +1
On the one hand, a growing amount of research discusses support for improving online collaborative learning quality, and many indicators are focused to assess its success. On the o…
From Bytes to Biases: Investigating the Cultural Self-Perception of Large Language Models
Wolfgang Messner, Tatum Greene, Josephine Matalone
Large language models (LLMs) are able to engage in natural-sounding conversations with humans, showcasing unprecedented capabilities for information retrieval and automated decisio…
Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach
Weicong Qin, Zelin Cao, Weijie Yu +3
Legal document retrieval and judgment prediction are crucial tasks in intelligent legal systems. In practice, determining whether two documents share the same judgments is essentia…
Conditioning Bienaym{é}-Galton-Watson trees to have large sub-populations
Romain Abraham, Hongwei Bi, Jean-François Delmas
We study the local limit in distribution of Bienaym{é}-Galton-Watson trees conditioned on having large sub-populations. Assuming a generic and aperiodic condition on the offspring…
R-Mixup: Riemannian Mixup for Biological Networks
Xuan Kan, Zimu Li, Hejie Cui +6
Biological networks are commonly used in biomedical and healthcare domains to effectively model the structure of complex biological systems with interactions linking biological ent…
Uncovering ChatGPT's Capabilities in Recommender Systems
Sunhao Dai, Ninglu Shao, Haiyuan Zhao +6
The debut of ChatGPT has recently attracted the attention of the natural language processing (NLP) community and beyond. Existing studies have demonstrated that ChatGPT shows signi…
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu +13
Graph representation learning aims to effectively encode high-dimensional sparse graph-structured data into low-dimensional dense vectors, which is a fundamental task that has been…