In this paper, we study the generation quality of interpolation-based
re...
Retrieval-enhanced language models (LMs), which condition their predicti...
Humans can reason compositionally when presented with new tasks. Previou...
Transition-based parsers for Abstract Meaning Representation (AMR) rely ...
For over thirty years, researchers have developed and analyzed methods f...
We introduce deep inside-outside recursive autoencoders (DIORA), a
fully...
Recent work on reinforcement learning and other gradient estimators for
...
Inspired by previous work on emergent communication in referential games...