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Showing 1–25 of 66 papers

TitleStatusHype
LLM2LLM: Boosting LLMs with Novel Iterative Data EnhancementCode2
Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingCode1
Revisiting Character-level Adversarial Attacks for Language ModelsCode1
Adaptive Deep Neural Network Inference Optimization with EENetCode1
Text Classification via Large Language ModelsCode1
ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous ClientsCode1
A Generative Language Model for Few-shot Aspect-Based Sentiment AnalysisCode1
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNNCode1
BDMMT: Backdoor Sample Detection for Language Models through Model Mutation Testing—0
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE—0
An End-to-End Homomorphically Encrypted Neural Network—0
DAWSON: Data Augmentation using Weak Supervision On Natural Language—0
Defending Deep Neural Networks against Backdoor Attacks via Module Switching—0
Detecting Adversarial Text Attacks via SHapley Additive exPlanations—0
Gradient-Based Word Substitution for Obstinate Adversarial Examples Generation in Language Models—0
Are Sample-Efficient NLP Models More Robust?—0
EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English—0
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis—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
Enhancing Task-Specific Distillation in Small Data Regimes through Language Generation—0
Exploring Variability in Fine-Tuned Models for Text Classification with DistilBERT—0
Cut the Deadwood Out: Post-Training Model Purification with Selective Module Substitution—0
Few-shot Multimodal Multitask Multilingual Learning—0
BERMo: What can BERT learn from ELMo?—0
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