activity
20202026
most citedQuark: Controllable Text Generation with Reinforced Unlearning

45 citations · 172 across the 42 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.CL2022★ 3 cited

SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization

Hyunwoo Kim, Jack Hessel, Liwei Jiang +9

Data scarcity has been a long standing issue in the field of open-domain social dialogue. To quench this thirst, we present SODA: the first publicly available, million-scale high-q…

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…

math.OC2022★ 3 cited

A Validation Approach to Over-parameterized Matrix and Image Recovery

Lijun Ding, Zhen Qin, Liwei Jiang +2

This paper studies the problem of recovering a low-rank matrix from several noisy random linear measurements. We consider the setting where the rank of the ground-truth matrix is u…

cs.CL2022★ 2 cited

Aligning to Social Norms and Values in Interactive Narratives

Prithviraj Ammanabrolu, Liwei Jiang, Maarten Sap +2

We focus on creating agents that act in alignment with socially beneficial norms and values in interactive narratives or text-based games -- environments wherein an agent perceives…

cs.CL2022★ 45 cited

Quark: Controllable Text Generation with Reinforced Unlearning

Ximing Lu, Sean Welleck, Jack Hessel +5

Large-scale language models often learn behaviors that are misaligned with user expectations. Generated text may contain offensive or toxic language, contain significant repetition…

cs.CL2022★ 8 cited

ProsocialDialog: A Prosocial Backbone for Conversational Agents

Hyunwoo Kim, Youngjae Yu, Liwei Jiang +5

Most existing dialogue systems fail to respond properly to potentially unsafe user utterances by either ignoring or passively agreeing with them. To address this issue, we introduc…