Florian Matthes

Explore the growth and trends in natural language processing research.

Examining the potential and challenges of Federated Machine Learning in preserving privacy.

A study on MEV and arbitrage strategies in Algorand's unique blockchain system.

A new dataset improves the accuracy of health claim verification.

A look at MEV extraction strategies in Algorand's decentralized finance ecosystem.

Research reveals methods to improve accuracy in verifying scientific claims from various knowledge sources.

This study examines methods for maintaining privacy in language processing tasks.

A study enhancing reliability in health information retrieval for users.

A new method that balances privacy and text quality in language models.

A method to rewrite texts while protecting individuals' privacy.

AGB-DE helps assess the validity of clauses in German consumer contracts.

New methods improve privacy and coherence using collocations in language data.

A new method for rewriting text that ensures privacy and maintains meaning.

An overview of privacy risks and strategies for responsible AI use.

A project to create an HR chatbot with expert input and advanced retrieval methods.

Study assesses language models' adaptability in summarizing diverse topics.

Examining the current state of the Ethereum block builder market.

A focused approach to extract relevant keywords for defined categories.

RAG helps students find precise academic information quickly and effectively.