activity
20172022
most citedHellaSwag: Can a Machine Really Finish Your Sentence?

42 citations · 133 across the 16 of their papers we have counts for

collaborators
Showing cs.CLShow all

25 papers · 1 filter

cs.CL20221 cited

EvEntS ReaLM: Event Reasoning of Entity States via Language Models

Evangelia Spiliopoulou, Artidoro Pagnoni, Yonatan Bisk +1

This paper investigates models of event implications. Specifically, how well models predict entity state-changes, by targeting their understanding of physical attributes. Nominally…

cs.CL2021

Dependency Induction Through the Lens of Visual Perception

Ruisi Su, Shruti Rijhwani, Hao Zhu +4

Most previous work on grammar induction focuses on learning phrasal or dependency structure purely from text. However, because the signal provided by text alone is limited, recentl…

cs.CL20216 cited

Few-shot Language Coordination by Modeling Theory of Mind

Hao Zhu, Graham Neubig, Yonatan Bisk

Humans communicate with a large community by coordinating with different interlocutors within short conversations. This ability has been understudie…

cs.CL202117 cited

Language Grounding with 3D Objects

Jesse Thomason, Mohit Shridhar, Yonatan Bisk +2

Seemingly simple natural language requests to a robot are generally underspecified, for example "Can you bring me the wireless mouse?" Flat images of candidate mice may not provide…

cs.CL2021

Grounding 'Grounding' in NLP

Khyathi Raghavi Chandu, Yonatan Bisk, Alan W Black

The NLP community has seen substantial recent interest in grounding to facilitate interaction between language technologies and the world. However, as a community, we use the term…

cs.CL2021

An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games

Alessandro Suglia, Yonatan Bisk, Ioannis Konstas +4

Guessing games are a prototypical instance of the "learning by interacting" paradigm. This work investigates how well an artificial agent can benefit from playing guessing games wh…