Summary of An Information-theoretic Approach to Analyze Nlp Classification Tasks, by Luran Wang et al.
An Information-Theoretic Approach to Analyze NLP Classification Tasksby Luran Wang, Mark Gales, Vatsal RainaFirst submitted…
Summary of Fine-tuning Transformer-based Encoder For Turkish Language Understanding Tasks, by Savas Yildirim
Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasksby Savas YildirimFirst submitted to arxiv on: 30…
Summary of Fine-tuning Large Language Models For Multigenerator, Multidomain, and Multilingual Machine-generated Text Detection, by Feng Xiong et al.
Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detectionby Feng Xiong, Thanet…
Summary of A Novel Prompt-tuning Method: Incorporating Scenario-specific Concepts Into a Verbalizer, by Yong Ma et al.
A Novel Prompt-tuning Method: Incorporating Scenario-specific Concepts into a Verbalizerby Yong Ma, Senlin Luo, Yu-Ming…
Summary of Enhancing Source Code Classification Effectiveness Via Prompt Learning Incorporating Knowledge Features, by Yong Ma et al.
Enhancing Source Code Classification Effectiveness via Prompt Learning Incorporating Knowledge Featuresby Yong Ma, Senlin Luo,…
Summary of The Butterfly Effect Of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance, by Abel Salinas and Fred Morstatter
The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model…
Summary of Cot-driven Framework For Short Text Classification: Enhancing and Transferring Capabilities From Large to Smaller Model, by Hui Wu et al.
CoT-Driven Framework for Short Text Classification: Enhancing and Transferring Capabilities from Large to Smaller Modelby…
Summary of Text Classification: Neural Networks Vs Machine Learning Models Vs Pre-trained Models, by Christos Petridis
Text Classification: Neural Networks VS Machine Learning Models VS Pre-trained Modelsby Christos PetridisFirst submitted to…
Summary of A Nearly Optimal Single Loop Algorithm For Stochastic Bilevel Optimization Under Unbounded Smoothness, by Xiaochuan Gong et al.
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothnessby Xiaochuan Gong,…
Summary of A Comparative Study Of Machine Unlearning Techniques For Image and Text Classification Models, by Omar M. Safa et al.
A Comparative Study of Machine Unlearning Techniques for Image and Text Classification Modelsby Omar M.…