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Researcher profile

Lei Liang

6 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Visualizing Online Education in the COVID-19 Pandemic Based on the Bibliometric Method

    2022 · International Journal of Technology-Enhanced Education

    Online education has become the mainstream since the outbreak of COVID-19 pandemic. This paper did a bibliographic review based on VOSviewer and CiteSpace. The author reviewed the definitions, pros and cons for teachers and students, …

  2. GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs

    2024 · arXiv (Cornell University)

    As a powerful tool for modeling graph data, Graph Neural Networks (GNNs) have received increasing attention in both academia and industry. Nevertheless, it is notoriously difficult to deploy GNNs on industrial scale graphs, due to …

  3. Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts

    2024 · arXiv (Cornell University)

    In recent years, large language models (LLMs) have made remarkable achievements in various domains. However, the untimeliness and cost of knowledge updates coupled with hallucination issues of LLMs have curtailed their applications in knowledge intensive …

  4. RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule Alignment

    2024 · arXiv (Cornell University)

    Large Language Models (LLMs) like GPT-4, MedPaLM-2, and Med-Gemini achieve performance competitively with human experts across various medical benchmarks. However, they still face challenges in making professional diagnoses akin to physicians, particularly in efficiently gathering …

  5. Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking

    2024 · arXiv (Cornell University)

    Large language models (LLMs) have demonstrated exceptional performance in text generation within current NLP research. However, the lack of factual accuracy is still a dark cloud hanging over the LLM skyscraper. Structural knowledge prompting (SKP) …

  6. Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis

    2025 · arXiv (Cornell University)

    High-quality, large-scale instructions are crucial for aligning large language models (LLMs), however, there is a severe shortage of instruction in the field of natural language understanding (NLU). Previous works on constructing NLU instructions mainly focus …