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Showing 26–50 of 66 papers

TitleStatusHype
RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language UnderstandingCode0
Objective-Based Hierarchical Clustering of Deep Embedding Vectors—0
On the Importance of Local Information in Transformer Based Models—0
PL-FGSA: A Prompt Learning Framework for Fine-Grained Sentiment Analysis Based on MindSpore—0
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT—0
Robustness of Large Language Models Against Adversarial Attacks—0
Sensi-BERT: Towards Sensitivity Driven Fine-Tuning for Parameter-Efficient BERT—0
Sentiment Analysis through LLM Negotiations—0
Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models—0
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis—0
Textual Data Augmentation for Efficient Active Learning on Tiny Datasets—0
The Impact of Quantization on the Robustness of Transformer-based Text Classifiers—0
Two-in-One: A Model Hijacking Attack Against Text Generation Models—0
Uncertainty Sentence Sampling by Virtual Adversarial Perturbation—0
Noisy Text Data: Achilles' Heel of BERT—0
TangoBERT: Reducing Inference Cost by using Cascaded Architecture—0
An End-to-End Homomorphically Encrypted Neural Network—0
Are Sample-Efficient NLP Models More Robust?—0
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE—0
BDMMT: Backdoor Sample Detection for Language Models through Model Mutation Testing—0
BERMo: What can BERT learn from ELMo?—0
Beyond Gradient and Priors in Privacy Attacks: Leveraging Pooler Layer Inputs of Language Models in Federated Learning—0
Catastrophic Forgetting in LLMs: A Comparative Analysis Across Language Tasks—0
Cut the Deadwood Out: Post-Training Model Purification with Selective Module Substitution—0
DAWSON: Data Augmentation using Weak Supervision On Natural Language—0
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