Jeff Da


My research is in natural language processing, on knowledge graphs, multi-modal language models, and interpretability.

jzda [æt] cs.washington.edu

Publications


Few-Shot Commonsense Knowledge Models

AKBC 2021. Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut.
paper

Edited Media Understanding: Reasoning About Implications of Manipulated Images

ACL 2021. Jeff Da, Max Forbes, Rowan Zellers, Anthony Zheng, Jena Hwang, Antoine Bosseult, Yejin Choi.
paper

Discourse Understanding and Factual Consistency in Abstractive Summarization

EACL 2021.
Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi

COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs

AAAI 2021.
Jena D. Hwang*, Chandra Bhagavatula*, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi.
paper

Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations

EMNLP 2019 Workshop COIN.
Jeff Da, Jungo Kasai.
paper

BIG MOOD: Relating Transformers to Explicit Commonsense Knowledge

EMNLP 2019 Workshop COIN.
Jeff Da
paper