Ngā tūemi rite

• Exploring Pretraining via Active Forgetting for Improving Cross Lingual Transfer for Decoder Language Models
  mā: Aggarwal, Divyanshu, me ētahi atu.
  I whakaputaina: (2024)
• Improving Self Consistency in LLMs through Probabilistic Tokenization
  mā: Sathe, Ashutosh, me ētahi atu.
  I whakaputaina: (2024)
• MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks
  mā: Ahuja, Sanchit, me ētahi atu.
  I whakaputaina: (2023)
• A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language Models
  mā: Sathe, Ashutosh, me ētahi atu.
  I whakaputaina: (2024)
• PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data
  mā: Watts, Ishaan, me ētahi atu.
  I whakaputaina: (2024)