Search Results for author:
Found 7 papers, 2 papers with code
Dependency-aware Prototype Learning for Few-shot Relation Classification
This paper presents a novel dependency-aware prototype learning (DAPL) method for few-shot relation classification.
PMG : Personalized Multimodal Generation with Large Language Models
Such user preferences are then fed into a generator, such as a multimodal LLM or diffusion model, to produce personalized content.
IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators
IndiVec begins by constructing a fine-grained media bias database, leveraging the robust instruction-following capabilities of large language models and vector database techniques.
AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models
In this paper, we propose the first fully automatic alignment method named AutoAlign, which does not require any manually crafted seed alignments.
A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers
This survey is expected to facilitate researchers' collaborative efforts to tackle the challenges of real-life RE systems.
TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs
The task of entity alignment between knowledge graphs (KGs) aims to identify every pair of entities from two different KGs that represent the same entity.
Enhancing Top-N Item Recommendations by Peer Collaboration
In this paper, we plan to exploit such redundancy phenomena to improve the performance of RS.
