Search Results for author: Qinggang Zhang

Found 5 papers, 1 papers with code

Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering

no code implementations20 Feb 2024 Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang

Specifically, (i) we propose a two-stage prompting strategy with LLMs to densely embody the image into a scene graph with detailed visual features; (ii) We construct a coupled concept graph by linking the mentioned entities with external facts.

Knowledge Graphs Question Answering +1

Structure Guided Large Language Model for SQL Generation

no code implementations19 Feb 2024 Qinggang Zhang, Junnan Dong, Hao Chen, Wentao Li, Feiran Huang, Xiao Huang

Existing models typically input queries and database schemas into the LLM and rely on the LLM to perform semantic-structure matching and generate structured SQL.

Language Modelling Large Language Model

Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM

no code implementations18 Feb 2024 Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang, Xiao Huang

Generating accurate SQL for user queries (text-to-SQL) is a long-standing problem since the generation of the SQL requires comprehending the query and database and retrieving the accurate data from the database accordingly.

Text-To-SQL

KnowGPT: Knowledge Injection for Large Language Models

no code implementations11 Dec 2023 Qinggang Zhang, Junnan Dong, Hao Chen, Daochen Zha, Zailiang Yu, Xiao Huang

Generative Large Language Models (LLMs), such as ChatGPT, offer interactive APIs that can answer common questions at a human-expert level.

Knowledge Graphs Question Answering +1

Contrastive Knowledge Graph Error Detection

1 code implementation18 Nov 2022 Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu

To this end, we propose a novel framework - ContrAstive knowledge Graph Error Detection (CAGED).

Contrastive Learning

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