Perception: Natural Language Processing and Computer Vision

Seminar Format

Presentations by students on selected papers, followed by discussions.

Topics

• Bayesian Networks (PDF)
• Presentations by students
  • “Memory in the LLM Era: From Modular Architectures to Personal Wikis”
  • “Emergent Abilities of Large Language Models”
  • “Attention is All You Need”
  • “Improving Language Understanding by Generative Pre-Training”
  • “Training Language Models to Follow Instructions with Human Feedback”
  • “On Calibration of Large Language Models: From Response To Capability”
  • “ViViT - A Video Vision Transformer”
  • “You Only Look Once: Unified, Real-Time Object Detection”
  • “Sequence to Sequence Learning with Neural Networks”
  • “Language Models are Unsupervised Multitask Learners”