6 citations · 9 across the 2 of their papers we have counts for
3 papers
cs.CL2024★ 3 cited
In-Context Language Learning: Architectures and Algorithms
Ekin Akyürek, Bailin Wang, Yoon Kim +1
Large-scale neural language models exhibit a remarkable capacity for in-context learning (ICL): they can infer novel functions from datasets provided as input. Most of our current…
cs.CL2021★ 6 cited
Lexicon Learning for Few-Shot Neural Sequence Modeling
Ekin Akyürek, Jacob Andreas
Sequence-to-sequence transduction is the core problem in language processing applications as diverse as semantic parsing, machine translation, and instruction following. The neural…
cs.CL2018
Morphological analysis using a sequence decoder
Ekin Akyürek, Erenay Dayanık, Deniz Yuret
We introduce Morse, a recurrent encoder-decoder model that produces morphological analyses of each word in a sentence. The encoder turns the relevant information about the word and…