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Found 7 papers, 2 papers with code
LayerConnect: Hypernetwork-Assisted Inter-Layer Connector to Enhance Parameter Efficiency
Pre-trained Language Models (PLMs) are the cornerstone of the modern Natural Language Processing (NLP).
EM-TTS: Efficiently Trained Low-Resource Mongolian Lightweight Text-to-Speech
Recurrent neural networks have become a standard modeling technique for sequential data in TTS systems and are widely used.
Towards Consistency Filtering-Free Unsupervised Learning for Dense Retrieval
In addition, consistency filtering often struggles to identify retrieval intentions and recognize query and corpus distributions in a target domain.
Is ChatGPT a Good NLG Evaluator? A Preliminary Study
In detail, we regard ChatGPT as a human evaluator and give task-specific (e. g., summarization) and aspect-specific (e. g., relevance) instruction to prompt ChatGPT to evaluate the generated results of NLG models.
GOAL: Towards Benchmarking Few-Shot Sports Game Summarization
Sports game summarization aims to generate sports news based on real-time commentaries.
A Siamese CNN Architecture for Learning Chinese Sentence Similarity
This paper presents a deep neural architecture which applies the siamese convolutional neural network sharing model parameters for learning a semantic similarity metric between two sentences.
Self-supervised Document Clustering Based on BERT with Data Augment
Contrastive learning is a promising approach to unsupervised learning, as it inherits the advantages of well-studied deep models without a dedicated and complex model design.
