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Papers

Showing 125 of 66 papers

TitleStatusHype
LLM2LLM: Boosting LLMs with Novel Iterative Data EnhancementCode2
Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingCode1
Text Classification via Large Language ModelsCode1
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNNCode1
Revisiting Character-level Adversarial Attacks for Language ModelsCode1
ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous ClientsCode1
A Generative Language Model for Few-shot Aspect-Based Sentiment AnalysisCode1
Adaptive Deep Neural Network Inference Optimization with EENetCode1
STraTA: Self-Training with Task Augmentation for Better Few-shot LearningCode0
Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed ModelsCode0
OrderBkd: Textual backdoor attack through repositioningCode0
RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language UnderstandingCode0
Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down FeedbackCode0
Improving the Adversarial Robustness of NLP Models by Information BottleneckCode0
LM-BFF-MS: Improving Few-Shot Fine-tuning of Language Models based on Multiple Soft Demonstration MemoryCode0
ELECTRA is a Zero-Shot Learner, TooCode0
Here's a Free Lunch: Sanitizing Backdoored Models with Model MergeCode0
From Shortcuts to Triggers: Backdoor Defense with Denoised PoECode0
Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance LevelCode0
Enhancing LLM Robustness to Perturbed Instructions: An Empirical StudyCode0
How Emotionally Stable is ALBERT? Testing Robustness with Stochastic Weight Averaging on a Sentiment Analysis TaskCode0
Leveraging QA Datasets to Improve Generative Data AugmentationCode0
Masked Language Model Based Textual Adversarial Example DetectionCode0
General Cross-Architecture Distillation of Pretrained Language Models into Matrix EmbeddingsCode0
TrojText: Test-time Invisible Textual Trojan InsertionCode0
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