2 papers
cs.RO2025
A Graph-to-Text Approach to Knowledge-Grounded Response Generation in Human-Robot Interaction
Nicholas Thomas Walker, Stefan Ultes, Pierre Lison
Knowledge graphs are often used to represent structured information in a flexible and efficient manner, but their use in situated dialogue remains under-explored. This paper presen…
cs.CL2024
Future Token Prediction -- Causal Language Modelling with Per-Token Semantic State Vector for Multi-Token Prediction
Nicholas Walker
Causal decoder-only transformer models used for generative language modelling, such as Generative Pre-trained Transformers (GPT), are trained to predict the next token in a sequenc…