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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
A Generative Language Model for Few-shot Aspect-Based Sentiment AnalysisCode1
Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingCode1
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNNCode1
ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous ClientsCode1
Text Classification via Large Language ModelsCode1
Adaptive Deep Neural Network Inference Optimization with EENetCode1
Improving the Adversarial Robustness of NLP Models by Information BottleneckCode0
Leveraging QA Datasets to Improve Generative Data AugmentationCode0
Enhancing LLM Robustness to Perturbed Instructions: An Empirical StudyCode0
STraTA: Self-Training with Task Augmentation for Better Few-shot LearningCode0
LM-BFF-MS: Improving Few-Shot Fine-tuning of Language Models based on Multiple Soft Demonstration MemoryCode0
Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance LevelCode0
TrojText: Test-time Invisible Textual Trojan InsertionCode0
Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down FeedbackCode0
Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed ModelsCode0
Masked Language Model Based Textual Adversarial Example DetectionCode0
When does word order matter and when doesn't it?Code0
General Cross-Architecture Distillation of Pretrained Language Models into Matrix EmbeddingsCode0
ELECTRA is a Zero-Shot Learner, TooCode0
From Shortcuts to Triggers: Backdoor Defense with Denoised PoECode0
OrderBkd: Textual backdoor attack through repositioningCode0
Here's a Free Lunch: Sanitizing Backdoored Models with Model MergeCode0
How Emotionally Stable is ALBERT? Testing Robustness with Stochastic Weight Averaging on a Sentiment Analysis TaskCode0
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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