Post by Marius Weiß

Research Associate and Doctoral Candidate @FAU

🚀 TaxBERT 1.0 is Here - Ready to Use! 🚀 We are proud to announce that TaxBERT 1.0 is now live on Hugging Face. The response has been incredible so far - thank you for all your feedback and support! We're especially proud that TaxBERT is ranked as the top trending model when searching for “tax” on Hugging Face!   What is TaxBERT? TaxBERT is a domain-specific Large Language Model (LLM) designed to analyze corporate tax disclosures with greater precision than generic models. Our research demonstrates that TaxBERT outperforms standard LLMs and FinBERT in capturing the nuances of tax-related texts, making it a powerful tool for tax research and analysis.   Your Feedback Matters! We see TaxBERT as a growing platform and would love to hear your thoughts. Try it out and let us know how it performs in your academic research or practical applications. Your insights will help us refine and expand its capabilities.   📂 Get Started Now: 📄 Full Paper: SSRN (https://lnkd.in/dKURXraF) 💻 GitHub: TaxBERT Repository (https://lnkd.in/d3iqi63e) 🤖 Hugging Face: TaxBERT Model (https://lnkd.in/djfr2aET) Nine months ago, we first introduced the idea of TaxBERT at the EAA Shark Tank Pitch at the EAA - European Accounting Association 46th annual congress in Bucharest. A huge thank you to all sharks at the EAA Shark Tank Pitch Amir Amel-Zadeh, Robert Faff, Stergios Leventis, Nelson Ma, Jennifer Wu Tucker, Marvin Wee, Sue Wright; to session chair Catalin Albu; and to my amazing team Frank Hechtner, Lukas Schmidt, and Andreas Seebeck for making this possible! Let’s shape the future of NLP in tax research together #LLM #NLP #Accounting #Tax #Research #AI #MachineLearning