1.5k citations · 1.6k across the 30 of their papers we have counts for
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cs.CL2023★ 1 cited
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph
Jinhao Jiang, Kun Zhou, Wayne Xin Zhao +2
Question Answering over Knowledge Graph (KGQA) aims to seek answer entities for the natural language question from a large-scale Knowledge Graph~(KG). To better perform reasoning o…
cs.CL2023★ 8 cited
StructGPT: A General Framework for Large Language Model to Reason over Structured Data
Jinhao Jiang, Kun Zhou, Zican Dong +3
In this paper, we study how to improve the zero-shot reasoning ability of large language models~(LLMs) over structured data in a unified way. Inspired by the study on tool augmenta…
cs.CL2023★ 1.5k cited
A Survey of Large Language Models
Wayne Xin Zhao, Kun Zhou, Junyi Li +19
Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for compre…