1 citations · 1 across the 5 of their papers we have counts for
5 papers
MGAL: A Multilingual Granularity-Aware Long-Context Benchmark
Chunhan Li, Chenglin Xu, Zongyang Zhang +8
Evaluation of long-context Large Language Models (LLMs) has advanced rapidly. However, most existing benchmarks are limited to the document level and focus mainly on high-resource…
Are Diffusion Language Models Good Database Analysts?
Peixian Ma, Xialie Zhuang, Jiantao Tan +3
Diffusion Language Models (DLMs) enable iterative global refinement, but their effectiveness in Natural Language to SQL (NL2SQL) remains unclear because heterogeneous architectures…
Are Large Language Models Effective Knowledge Graph Constructors?
Ruirui Chen, Weifeng Jiang, Chengwei Qin +10
Knowledge graphs (KGs) are widely used in knowledge-intensive applications, yet it remains unclear how effectively current large language models (LLMs) can construct document-groun…
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…