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Weixin-Liang / LLM-scientific-feedback

Can large language models provide useful feedback on research papers? A large-scale empirical analysis.
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Makes the truncation length an attribute of the model #28

Open Dntfreitas opened 8 months ago

Dntfreitas commented 8 months ago

Changes:

  1. Refactor: Renamed the wrapper to a more general name for improved clarity and coherence.
  2. Enhancement: Introduced a dynamic max_tokens parameter to make truncation length more adaptable, taking into account model-specific requirements.
  3. Configuration: Added 'key.txt' to the list of ignored files for a cleaner and secure repository structure.
  4. Optimization: Removed the redundant model inclusion from main_from_text.py, since it was already defined in main.py.