Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the
field of natural language processing and artificial intelligence, due to their emergent ability …

The field of Natural Language Processing (NLP) has experienced significant growth in
recent years, largely due to advancements in Deep Learning technology and especially …

Document-level relation extraction (DocRE) aims to extract relations between entities in a
whole document. One of the pivotal challenges of DocRE is to capture the intricate …

Document-level Relation Extraction (DocRE), which aims to extract relations from a long
context, is a critical challenge in achieving fine-grained structural comprehension and …

Document-level relation extraction (DocRE) poses the challenge of identifying relationships
between entities within a document. Existing approaches rely on logical reasoning or …

In-context learning (ICL) has become the default method for using large language models
(LLMs), making the exploration of its limitations and understanding the underlying causes …

How to identify semantic relations among entities in a document when only a few labeled
documents are available? Few-shot document-level relation extraction (FSDLRE) is crucial …

Large language models (LLMs) create a new paradigm for natural language processing.
Despite their advancement, LLM-based methods still lag behind traditional approaches in …

Document-level relation extraction (DocRE) involves identifying relations between entities
distributed in multiple sentences within a document. Existing methods focus on building a …

Relation extraction aims to classify the relationships between two entities into pre-defined
categories. While previous research has mainly focused on sentence-level relation …