https://github.com/yellowmessenger/ood-detection
공식 코드BED: Bi-Encoder-Based Detectors for Out-of-Distribution Detection
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BED: Bi-Encoder-Based Detectors for Out-of-Distribution Detection
Ranking-Enhanced Unsupervised Sentence Representation Learning
Rationale-Augmented Convolutional Neural Networks for Text Classification
Towards a Better Understanding Human Reading Comprehension with Brain Signals
Abstractive Summarization Guided by Latent Hierarchical Document Structure
Measuring and Improving Compositional Generalization in Text-to-SQL via Component Alignment
An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition
Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach
Meta-Task Prompting Elicits Embeddings from Large Language Models
Phrase-level Textual Adversarial Attack with Label Preservation
On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator Loss
Improving Multilingual Translation by Representation and Gradient Regularization
Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis
Iterative Document Representation Learning Towards Summarization with Polishing
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions
GPT-HateCheck: Can LLMs Write Better Functional Tests for Hate Speech Detection?
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings
StoryGAN: A Sequential Conditional GAN for Story Visualization
Exploiting prompt learning with pre-trained language models for Alzheimer's Disease detection
Learning to Generate Scene Graph from Natural Language Supervision
Bidirectional Attention as a Mixture of Continuous Word Experts
A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict
CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation
You Only Use Reactive Attention Slice For Long Context Retrieval
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.