3 papers
cs.CL2024
Deanthropomorphising NLP: Can a Language Model Be Conscious?
Matthew Shardlow, Piotr PrzybyÅa
This work is intended as a voice in the discussion over previous claims that a pretrained large language model (LLM) based on the Transformer model architecture can be sentient. Su…
cs.CL2024
Verifying the Robustness of Automatic Credibility Assessment
Piotr PrzybyÅa, Alexander Shvets, Horacio Saggion
Text classification methods have been widely investigated as a way to detect content of low credibility: fake news, social media bots, propaganda, etc. Quite accurate models (likel…
cs.CL2024
PolQA: Polish Question Answering Dataset
Piotr Rybak, Piotr PrzybyÅa, Maciej Ogrodniczuk
Recently proposed systems for open-domain question answering (OpenQA) require large amounts of training data to achieve state-of-the-art performance. However, data annotation is kn…