activity
20172026
most citedHellaSwag: Can a Machine Really Finish Your Sentence?

42 citations · 158 across the 42 of their papers we have counts for

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Showing 2020Show all

8 papers · 1 filter

cs.CL20209 cited

Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering

Kaixin Ma, Filip Ilievski, Jonathan Francis +3

Recent developments in pre-trained neural language modeling have led to leaps in accuracy on commonsense question-answering benchmarks. However, there is increasing concern that mo…

cs.CL2020

Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games

Alessandro Suglia, Antonio Vergari, Ioannis Konstas +4

In visual guessing games, a Guesser has to identify a target object in a scene by asking questions to an Oracle. An effective strategy for the players is to learn conceptual repres…

cs.CL2020

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté +3

Given a simple request like Put a washed apple in the kitchen fridge, humans can reason in purely abstract terms by imagining action sequences and scoring their likelihood of succe…

cs.CL2020

The Return of Lexical Dependencies: Neural Lexicalized PCFGs

Hao Zhu, Yonatan Bisk, Graham Neubig

In this paper we demonstrate that . This contrasts to the most p…

cs.CL202014 cited

RMM: A Recursive Mental Model for Dialog Navigation

Homero Roman Roman, Yonatan Bisk, Jesse Thomason +2

Language-guided robots must be able to both ask humans questions and understand answers. Much existing work focuses only on the latter. In this paper, we go beyond instruction foll…

cs.CL2020

A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos

Frank F. Xu, Lei Ji, Botian Shi +4

Watching instructional videos are often used to learn about procedures. Video captioning is one way of automatically collecting such knowledge. However, it provides only an indirec…