LLM-Assisted Knowledge Graph Engineering - Potential Application Areas 在与知识图谱工程专家的讨论中,我们初步确定了以下适用于 LLM 援助的知识图谱工程领域的潜在用例清单: 协助使用知识图谱: 从自然语言问题生成 SPARQL 查询 现有知识图谱的探索和总结 将能力问题转换为 SPARQL 查询 代码生成或数据流水线工具(链)...
LLM-Assisted Data Augmentation for Chinese Dialogue-Level Dependency Parsingdoi:10.1162/coli_a_00515LANGUAGE modelsDATA augmentationSCARCITYDialogue-level dependency parsing, despite its growing academic interest, often encounters underperformance issues due to resource shortages. A potential solution ...
Large language models (or LLMs) have shown impressive code generation capabilities but they cannot do complex reasoning over code to detect such vulnerabilities especially since this task requires whole-repository analysis. We propose IRIS, a neuro-symbolic approach that systematically combines LLMs ...
@article{wang2024visiongpt, title={VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation}, author={Wang, Hao and Qin, Jiayou and Bastola, Ashish and Chen, Xiwen and Suchanek, John and Gong, Zihao and Razi, Abolfazl}, journal={arXiv preprint arXiv:2403.12415}, ...
LLM-Assisted Light: Augmenting Traffic Signal Control with Large Language Model in Complex Urban Scenarios scenario1.mp4 Examples of LA-Lights Utilizing Tools to Control Traffic Signals (Normal Scenario) scenario_2.mp4 Examples of LA-Lights Utilizing Tools to Control Traffic Signals (Emergency Vehic...
Multi-modal learning in the audio-language domain has seen significant advancements in recent years. However, audio-language learning faces challenges due to limited and lower-quality data compared to image-language tasks. Existing audio-language datasets are notably smaller, and manual labeling is ...
Motivated by the increased need for FPV in the era of heterogeneous hardware and the advances in large language models (LLMs), we set out to explore whether LLMs can capture RTL behavior and generate correct SVA properties. First, we design an FPV-based evaluation framework that measures the...
fine-tune a prompting method. We then evaluate the method by (1) assessing the accuracy of the (prompt-enhanced) LLM for descriptive analysis questions and (2) conducting a user study with process analysts to evaluate the quality of the redesign options provided by the prompt-enhanced LLM. ...
The Fabrication ofReality andFantasy: Scene Generation withLLM-Assisted Prompt Interpretationdoi:10.1007/978-3-031-72670-5_24In spite of recent advancements in text-to-image generation, limitations persist in handling complex and imaginative prompts due to the restricted diversity and complexity of ...
LLMs for PINNsFluid mechanicsCavity flowValidationScientific machine learning (SciML) has advanced recently across many different areas in computational science and engineering. The objective is to integrate data and physics seamlessly without the need of employing elaborate and computationally taxing data ...