Alane Suhr

Preprints
	Do embodied agents dream of pixelated sheep?: Embodied decision making using language guided world modelling. Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, and Roy Fox. To appear at the Reincarnating RL workshop held at ICLR 2023.
	Continual learning for instruction following from realtime feedback. Alane Suhr and Yoav Artzi.

2022
	Abstract visual reasoning with tangram puzzles. Anya Ji, Noriyuki Kojima*, Noah J. Rush*, Alane Suhr*, Wai Keen Vong, Robert Hawkins, and Yoav Artzi. In EMNLP. Best Long Paper Award	data

2021
	Analysis of language change in collaborative instruction following. Anna Effenberger, Rhia Singh*, Eva Yan*, Alane Suhr, and Yoav Artzi. In Findings of EMNLP. Also appeared at SCiL 2022.	code
	Crowdsourcing beyond annotation: Case studies in benchmark data collection. Alane Suhr, Clara Vania, Nikita Nangia, Maarten Sap, Mark Yatskar, Samuel R. Bowman, and Yoav Artzi. Tutorial presented at EMNLP.
	Continual learning for grounded instruction generation by observing human following behavior. Noriyuki Kojima, Alane Suhr, and Yoav Artzi. In TACL.	code

2020
	Exploring underexplored generalization challenges for cross-database semantic parsing. Alane Suhr, Ming-Wei Chang, Peter Shaw, and Kenton Lee. In ACL.	code talk

2019
	Executing instructions in situated collaborative interactions. Alane Suhr, Claudia Yan, Charlotte Schluger*, Stanley Yu*, Hadi Khader**, Marwa Mouallem**, Iris Zhang, and Yoav Artzi. In EMNLP.	data web
	A corpus for reasoning about natural language grounded in photographs. Alane Suhr*, Stephanie Zhou*, Ally Zhang, Iris Zhang, Huajuan Bai, and Yoav Artzi. In ACL. Also appeared at the 2017 AAAI Fall Symposium on Natural Communication for Human-Robot Collaboration.	data web
	Touchdown: Natural language navigation and spatial reasoning in visual street environments. Howard Chen, Alane Suhr*, Dipendra Misra, Noah Snavely, and Yoav Artzi. In CVPR.	code

2018
	Situated mapping of sequential instructions to actions with single-step reward observation. Alane Suhr and Yoav Artzi. In ACL.	code talk
	Neural semantic parsing. Matt Gardner, Pradeep Dasigi, Srinivasan Iyer, Alane Suhr, and Luke Zettlemoyer. Tutorial presented at ACL.
	Learning to map context-dependent sentences to executable formal queries. Alane Suhr, Srinivasan Iyer, and Yoav Artzi. In NAACL. Outstanding Paper Award	code talk

2017
	A corpus of natural language for visual reasoning. Alane Suhr, Mike Lewis, James Yeh, and Yoav Artzi. In ACL. Best Resource Paper Award Featured in AI Magazine and NLP Highlights.	data web talk