4 papers
CoMMET: To What Extent Can LLMs Perform Theory of Mind Tasks?
Ruirui Chen, Weifeng Jiang, Chengwei Qin +1
Theory of Mind (ToM)-the ability to reason about the mental states of oneself and others-is a cornerstone of human social intelligence. As Large Language Models (LLMs) become ubiqu…
Are Large Language Models Effective Knowledge Graph Constructors?
Ruirui Chen, Weifeng Jiang, Chengwei Qin +4
Knowledge graphs (KGs) are vital for knowledge-intensive tasks and have shown promise in reducing hallucinations in large language models (LLMs). However, constructing high-quality…
Theory of Mind in Large Language Models: Assessment and Enhancement
Ruirui Chen, Weifeng Jiang, Chengwei Qin +1
Theory of Mind (ToM)-the ability to reason about the mental states of oneself and others-is a cornerstone of human social intelligence. As Large Language Models (LLMs) become incre…
LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments
Ruirui Chen, Weifeng Jiang, Chengwei Qin +5
The important challenge of keeping knowledge in Large Language Models (LLMs) up-to-date has led to the development of various methods for incorporating new facts. However, existing…