5 papers · 1 filter
Stepwise Reasoning Enhancement for LLMs via External Subgraph Generation
Xin Zhang, Yang Cao, Baoxing Wu +2
Large language models have shown strong performance in natural language generation and downstream reasoning tasks, but they still struggle with logical consistency, factual groundi…
SGR: A Stepwise Reasoning Framework for LLMs with External Subgraph Generation
Xin Zhang, Yang Cao, Baoxing Wu +2
Large Language Models (LLMs) have demonstrated strong capabilities across diverse NLP applications, such as translation, text generation, and question answering. Nevertheless, they…
A Stepwise-Enhanced Reasoning Framework for Large Language Models Based on External Subgraph Generation
Xin Zhang, Yang Cao, Baoxing Wu +3
Large Language Models (LLMs) have achieved strong performance across a wide range of natural language processing tasks in recent years, including machine translation, text generati…
5W1H Extraction With Large Language Models
Yang Cao, Yangsong Lan, Feiyan Zhai +1
The extraction of essential news elements through the 5W1H framework (\textit{What}, \textit{When}, \textit{Where}, \textit{Why}, \textit{Who}, and \textit{How}) is critical for ev…
Knowledge Graph Assisted Automatic Sports News Writing
Yang Cao, Xinyi Chen, Xin Zhang +1
In this paper, we present a novel method for automatically generating sports news, which employs a unique algorithm that extracts pivotal moments from live text broadcasts and uses…