Evaluating the performance of state-of-the-art esg domain-specific pre-trained large language models in text classification against existing models and traditional machine learning techniques

Similar Items

• Is 'Hope' a person or an idea? A pilot benchmark for NER: comparing traditional NLP tools and large language models on ambiguous entities
  by: Latifi, Payam
  Published: (2025)
• A thorough benchmark of automatic text classification: From traditional approaches to large language models
  by: Cunha, Washington, et al.
  Published: (2025)
• ECG-LLM -- training and evaluation of domain-specific large language models for electrocardiography
  by: Ahrens, Lara, et al.
  Published: (2025)
• Leveraging large language models and traditional machine learning ensembles for ADHD detection from narrative transcripts
  by: Zhu, Yuxin, et al.
  Published: (2025)
• Continued domain-specific pre-training of protein language models for pMHC-I binding prediction
  by: Mares, Sergio E., et al.
  Published: (2025)