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Qingguo Hu

3 accepted papers

2025

Boosting Visual Knowledge-Intensive Training for LVLMs Through Causality-Driven Visual Object Completion

IJCAI 2025

Large Vision-Language Models (LVLMs) have experienced significant advancements in recent years. However, their performance still falls short in tasks requiring deep visual perception, such as identifying subtle differences between images. A potential cause is the scarcity of visual knowledge in popu

2023

Exploring Self-Distillation Based Relational Reasoning Training for Document-Level Relation Extraction

AAAI 2023technical

Document-level relation extraction (RE) aims to extract relational triples from a document. One of its primary challenges is to predict implicit relations between entities, which are not explicitly expressed in the document but can usually be extracted through relational reasoning. Previous methods…

2022

Towards Better Document-level Relation Extraction via Iterative Inference

EMNLP 2022main

Document-level relation extraction (RE) aims to extract the relations between entities from the input document that usually containing many difficultly-predicted entity pairs whose relations can only be predicted through relational inference. Existing methods usually directly predict the relations o…