5 citations · 14 across the 17 of their papers we have counts for
6 papers · 2 filters
Divergences between Language Models and Human Brains
Yuchen Zhou, Emmy Liu, Graham Neubig +2
Do machines and humans process language in similar ways? Recent research has hinted at the affirmative, showing that human neural activity can be effectively predicted using the in…
Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting
Emmy Liu, Aditi Chaudhary, Graham Neubig
Idioms are common in everyday language, but often pose a challenge to translators because their meanings do not follow from the meanings of their parts. Despite significant advance…
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation
Patrick Fernandes, Aman Madaan, Emmy Liu +8
Many recent advances in natural language generation have been fueled by training large language models on internet-scale data. However, this paradigm can lead to models that genera…
Multi-lingual and Multi-cultural Figurative Language Understanding
Anubha Kabra, Emmy Liu, Simran Khanuja +6
Figurative language permeates human communication, but at the same time is relatively understudied in NLP. Datasets have been created in English to accelerate progress towards meas…
Syntax and Semantics Meet in the "Middle": Probing the Syntax-Semantics Interface of LMs Through Agentivity
Lindia Tjuatja, Emmy Liu, Lori Levin +1
Recent advances in large language models have prompted researchers to examine their abilities across a variety of linguistic tasks, but little has been done to investigate how mode…
Computational Language Acquisition with Theory of Mind
Andy Liu, Hao Zhu, Emmy Liu +2
Unlike current state-of-the-art language models, young children actively acquire language through interactions with their surrounding environment and caretakers. One mechanism that…