activity
20172025
most citedFaith and Fate: Limits of Transformers on Compositionality

71 citations · 182 across the 19 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

cs.CL2022★ 5 cited

ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations

Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar +4

Context is everything, even in commonsense moral reasoning. Changing contexts can flip the moral judgment of an action; "Lying to a friend" is wrong in general, but may be morally…

cs.CL2022★ 1 cited

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation

Chandra Bhagavatula, Jena D. Hwang, Doug Downey +7

Commonsense capabilities of pre-trained language models dramatically improve with scale, leading many to believe that scale is the only winning recipe. But is it? Here, we investig…

cs.CL2022★ 3 cited

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code

Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran +74

Evaluation in machine learning is usually informed by past choices, for example which datasets or metrics to use. This standardization enables the comparison on equal footing using…

cs.CL2022

ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts

Sonia K. Murthy, Kyle Lo, Daniel King +7

Systems that can automatically define unfamiliar terms hold the promise of improving the accessibility of scientific texts, especially for readers who may lack prerequisite backgro…

cs.CL2022★ 8 cited

Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations

Jaehun Jung, Lianhui Qin, Sean Welleck +4

Despite their impressive capabilities, large pre-trained language models (LMs) struggle with consistent reasoning; recently, prompting LMs to generate explanations that self-guide…

cs.CL2022★ 3 cited

Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions

Emily Allaway, Jena D. Hwang, Chandra Bhagavatula +3

Generics express generalizations about the world (e.g., birds can fly) that are not universally true (e.g., newborn birds and penguins cannot fly). Commonsense knowledge bases, use…