research
∙
06/04/2023
Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model
Sentence embedding is one of the most fundamental tasks in Natural Langu...
share
research
∙
05/18/2023
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency
With growing capabilities of large language models, prompting them has b...
research
∙
05/13/2023
Frequency-aware Dimension Selection for Static Word Embedding by Mixed Product Distance
Static word embedding is still useful, particularly for context-unavaila...
research
∙
05/13/2023
A Simple and Plug-and-play Method for Unsupervised Sentence Representation Enhancement
Generating proper embedding of sentences through an unsupervised way is ...
research
∙
02/03/2023
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification
Adversarial attack serves as a major challenge for neural network models...
research
∙
02/17/2022
Revisiting the Evaluation Metrics of Paraphrase Generation
Paraphrase generation is an important NLP task that has achieved signifi...
research
∙
01/09/2022
