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Showing 1–25 of 66 papers

TitleStatusHype
LLM2LLM: Boosting LLMs with Novel Iterative Data EnhancementCode2
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNNCode1
Revisiting Character-level Adversarial Attacks for Language ModelsCode1
Text Classification via Large Language ModelsCode1
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
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing—0
PL-FGSA: A Prompt Learning Framework for Fine-Grained Sentiment Analysis Based on MindSpore—0
Defending Deep Neural Networks against Backdoor Attacks via Module Switching—0
Enhancing LLM Robustness to Perturbed Instructions: An Empirical StudyCode0
Catastrophic Forgetting in LLMs: A Comparative Analysis Across Language Tasks—0
An End-to-End Homomorphically Encrypted Neural Network—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
Contextual Feedback Loops: Amplifying Deep Reasoning with Iterative Top-Down FeedbackCode0
Robustness of Large Language Models Against Adversarial Attacks—0
Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed ModelsCode0
Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models—0
Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition—0
LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models—0
The Impact of Quantization on the Robustness of Transformer-based Text Classifiers—0
Here's a Free Lunch: Sanitizing Backdoored Models with Model MergeCode0
When does word order matter and when doesn't it?Code0
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