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Ruiji Fu

7 accepted papers

2024

CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models

EMNLP 2024finding

Cognitive dynamics, which refer to the evolution in human cognitive processes, are pivotal to advance human understanding of the world. Recent advancements in large language models (LLMs) highlight their potential for cognitive simulation. However, these LLM-based cognitive studies primarily focus o…

2024

Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition

COLING 2024main

Multi-modal Named Entity Recognition, a fundamental task for multi-modal knowledge graph construction, requires integrating multi-modal information to extract named entities from text. Previous research has explored the integration of multi-modal representations at different granularities. However,…

Cited by 1SourcePDFScholar
2024

GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension

IJCAI 2024poster

There are substantial instructional videos on the Internet, which provide us tutorials for completing various tasks. Existing instructional video datasets only focus on specific steps at the video level, lacking experiential guidelines at the task level, which can lead to beginners struggling to lea…

Cited by 1SourcePDFScholar
2024

Relational Graph-Bridged Image-Text Interaction: A Novel Method for Multi-Modal Relation Extraction

ICASSP 2024accepted

Multi-modal relation extraction (MRE) requires the integration of multi-modal information to identify relationships between entities. Although fine-grained correlations between visual objects and textual words have the potential to improve cross-modal interaction, they are typically modeled implicit…

Cited by 0SourceScholar
2023

GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation

IJCAI 2023poster

Dynamic scene graph generation aims to identify visual relationships (subject-predicate-object) in frames based on spatio-temporal contextual information in the video. Previous work implicitly models the spatio-temporal interaction simultaneously, which leads to entanglement of spatio-temporal conte…

Cited by 2SourcePDFScholar
2020

Hierarchical Multi-task Learning for Organization Evaluation of Argumentative Student Essays

IJCAI 2020poster

Organization evaluation is an important dimension of automated essay scoring. This paper focuses on discourse element (i.e., functions of sentences and paragraphs) based organization evaluation. Existing approaches mostly separate discourse element identification and organization evaluation. In…

Cited by 0SourcePDFScholar