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Showing 1–50 of 66 papers

TitleStatusHype
LLM2LLM: Boosting LLMs with Novel Iterative Data EnhancementCode2
Revisiting Character-level Adversarial Attacks for Language ModelsCode1
Text Classification via Large Language ModelsCode1
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNNCode1
Adaptive Deep Neural Network Inference Optimization with EENetCode1
ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous ClientsCode1
A Generative Language Model for Few-shot Aspect-Based Sentiment AnalysisCode1
Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingCode1
Cut the Deadwood Out: Post-Training Model Purification with Selective Module Substitution—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
Distilling BERT for low complexity network training—0
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text—0
EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English—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
Few-shot Multimodal Multitask Multilingual Learning—0
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples—0
Robustness of Large Language Models Against Adversarial Attacks—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
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing—0
Margin-Based Regularization and Selective Sampling in Deep Neural Networks—0
Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition—0
Noisy Text Data: Achilles’ Heel of BERT—0
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
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis—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
TangoBERT: Reducing Inference Cost by using Cascaded Architecture—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
Improving Natural Language Understanding by Reverse Mapping Bytepair Encoding—0
Gradient-Based Word Substitution for Obstinate Adversarial Examples Generation in Language Models—0
LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models—0
From Shortcuts to Triggers: Backdoor Defense with Denoised PoECode0
Here's a Free Lunch: Sanitizing Backdoored Models with Model MergeCode0
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