activity
20162026
most citedClever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models

37 citations · 174 across the 38 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.CL2020★ 1 cited

Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision

Faeze Brahman, Vered Shwartz, Rachel Rudinger +1

The black-box nature of neural models has motivated a line of research that aims to generate natural language rationales to explain why a model made certain predictions. Such ratio…

cs.CL2020

Social Chemistry 101: Learning to Reason about Social and Moral Norms

Maxwell Forbes, Jena D. Hwang, Vered Shwartz +2

Social norms -- the unspoken commonsense rules about acceptable social behavior -- are crucial in understanding the underlying causes and intents of people's actions in narratives.…

cs.CL2020★ 17 cited

Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning

Lianhui Qin, Vered Shwartz, Peter West +5

Abductive and counterfactual reasoning, core abilities of everyday human cognition, require reasoning about what might have happened at time t, while conditioning on multiple conte…

cs.CL2020★ 7 cited

Paragraph-level Commonsense Transformers with Recurrent Memory

Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz +3

Human understanding of narrative texts requires making commonsense inferences beyond what is stated explicitly in the text. A recent model, COMET, can generate such implicit common…

cs.CL2020

Paraphrasing vs Coreferring: Two Sides of the Same Coin

Yehudit Meged, Avi Caciularu, Vered Shwartz +1

We study the potential synergy between two different NLP tasks, both confronting predicate lexical variability: identifying predicate paraphrases, and event coreference resolution.…

cs.CL2020

Unsupervised Commonsense Question Answering with Self-Talk

Vered Shwartz, Peter West, Ronan Le Bras +2

Natural language understanding involves reading between the lines with implicit background knowledge. Current systems either rely on pre-trained language models as the sole implici…