1 citations · 2 across the 6 of their papers we have counts for
6 papers
How Good are LLMs at Relation Extraction under Low-Resource Scenario? Comprehensive Evaluation
Dawulie Jinensibieke, Mieradilijiang Maimaiti, Wentao Xiao +2
Relation Extraction (RE) serves as a crucial technology for transforming unstructured text into structured information, especially within the framework of Knowledge Graph developme…
Improving Cross-lingual Representation for Semantic Retrieval with Code-switching
Mieradilijiang Maimaiti, Yuanhang Zheng, Ji Zhang +3
Semantic Retrieval (SR) has become an indispensable part of the FAQ system in the task-oriented question-answering (QA) dialogue scenario. The demands for a cross-lingual smart-cus…
Thinker-DDM: Modeling Deliberation for Machine Translation with a Drift-Diffusion Process
Hongbin Na, Zimu Wang, Mieradilijiang Maimaiti +4
Large language models (LLMs) have demonstrated promising potential in various downstream tasks, including machine translation. However, prior work on LLM-based machine translation…
Generating Persuasive Responses to Customer Reviews with Multi-Source Prior Knowledge in E-commerce
Bo Chen, Jiayi Liu, Mieradilijiang Maimaiti +2
Customer reviews usually contain much information about one's online shopping experience. While positive reviews are beneficial to the stores, negative ones will largely influence…
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification
Jianhai Zhang, Mieradilijiang Maimaiti, Xing Gao +2
Text classification struggles to generalize to unseen classes with very few labeled text instances per class. In such a few-shot learning (FSL) setting, metric-based meta-learning…
Auto-MLM: Improved Contrastive Learning for Self-supervised Multi-lingual Knowledge Retrieval
Wenshen Xu, Mieradilijiang Maimaiti, Yuanhang Zheng +2
Contrastive learning (CL) has become a ubiquitous approach for several natural language processing (NLP) downstream tasks, especially for question answering (QA). However, the majo…