Theme IV: AI & Language

10 April 2024: Abilities and limitations of LLMs (Stephan Raaijmakers) 

Reading:  

  • Wei, Jason, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, et al. “Emergent Abilities of Large Language Models” (2022).  
  • Schaeffer, Rylan, Brando Miranda, and Sanmi Koyejo. “Are Emergent Abilities of Large Language Models a Mirage?” (2023).  
  • Lewis, Patrick, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, et al. “Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks” (2021). 

17 April 2024: Machine Translation – From Enigma to Google Translate to ChatGPT (Lettie Dorst)

Reading:

  • Hendy, A., Abdelrehim, M.G., Sharaf, A., Raunak, V., Gabr, M., Matsushita, H., Kim, Y., Afify, M., & Awadalla, H.H. (2023). How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation. ArXiv, abs/2302.09210. 
  • Guerreiro, N.M., Alves, D.M., Waldendorf, J., Haddow, B., Birch, A., Colombo, P., & Martins, A. (2023). Hallucinations in Large Multilingual Translation Models. ArXiv, abs/2303.16104.