Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A comprehensive survey on relation extraction: Recent advances and new frontiers
Relation extraction (RE) involves identifying the relations between entities from underlying
content. RE serves as the foundation for many natural language processing (NLP) and …
content. RE serves as the foundation for many natural language processing (NLP) and …
Applications of generative AI (GAI) for mobile and wireless networking: A survey
The success of artificial intelligence (AI) in multiple disciplines and vertical domains in recent
years has promoted the evolution of mobile networking and the future Internet toward an AI …
years has promoted the evolution of mobile networking and the future Internet toward an AI …
[HTML][HTML] Ptr: Prompt tuning with rules for text classification
Recently, prompt tuning has been widely applied to stimulate the rich knowledge in pre-
trained language models (PLMs) to serve NLP tasks. Although prompt tuning has achieved …
trained language models (PLMs) to serve NLP tasks. Although prompt tuning has achieved …
[HTML][HTML] Pre-trained models: Past, present and future
Large-scale pre-trained models (PTMs) such as BERT and GPT have recently achieved
great success and become a milestone in the field of artificial intelligence (AI). Owing to …
great success and become a milestone in the field of artificial intelligence (AI). Owing to …
Few-nerd: A few-shot named entity recognition dataset
Prototypical verbalizer for prompt-based few-shot tuning
Prompt-based tuning for pre-trained language models (PLMs) has shown its effectiveness in
few-shot learning. Typically, prompt-based tuning wraps the input text into a cloze question …
few-shot learning. Typically, prompt-based tuning wraps the input text into a cloze question …
CLINE: Contrastive learning with semantic negative examples for natural language understanding
Despite pre-trained language models have proven useful for learning high-quality semantic
representations, these models are still vulnerable to simple perturbations. Recent works …
representations, these models are still vulnerable to simple perturbations. Recent works …
Autoalign: fully automatic and effective knowledge graph alignment enabled by large language models
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. Many machine learning-based …
entities from two different KGs that represent the same entity. Many machine learning-based …
Prompt-based meta-learning for few-shot text classification
Abstract Few-shot Text Classification predicts the semantic label of a given text with a
handful of supporting instances. Current meta-learning methods have achieved satisfying …
handful of supporting instances. Current meta-learning methods have achieved satisfying …