Large Language Models (LLMs) usually suffer from knowledge cutoff or fal...
Recent advancements in deep learning have precipitated the emergence of ...
Previous studies have revealed that vanilla pre-trained language models
...
Reasoning, as an essential ability for complex problem-solving, can prov...
Information Extraction, which aims to extract structural relational trip...
Multimodal named entity recognition and relation extraction (MNER and MR...
Knowledge-Enhanced Model have developed a diverse set of techniques for
...
We present a new open-source and extensible knowledge extraction toolkit...
Large pre-trained models have achieved great success in many natural lan...