activity
20202026
most citedQuark: Controllable Text Generation with Reinforced Unlearning

45 citations · 161 across the 40 of their papers we have counts for

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Showing 2023 · cs.CLShow all

7 papers · 2 filters

cs.CL2023

NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation

Peter West, Ronan Le Bras, Taylor Sorensen +8

We present NovaCOMET, an open commonsense knowledge model, that combines the best aspects of knowledge and general task models. Compared to previous knowledge models, NovaCOMET all…

cs.CL2023★ 1 cited

What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations

Kavel Rao, Liwei Jiang, Valentina Pyatkin +5

Moral or ethical judgments rely heavily on the specific contexts in which they occur. Understanding varying shades of defeasible contextualizations (i.e., additional information th…

cs.CL2023★ 4 cited

Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement

Linlu Qiu, Liwei Jiang, Ximing Lu +8

The ability to derive underlying principles from a handful of observations and then generalize to novel situations -- known as inductive reasoning -- is central to human intelligen…

cs.CL2023★ 31 cited

Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties

Taylor Sorensen, Liwei Jiang, Jena Hwang +10

Human values are crucial to human decision-making. Value pluralism is the view that multiple correct values may be held in tension with one another (e.g., when considering lying to…

cs.CL2023

BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of Implied Social Biases

Yiming Zhang, Sravani Nanduri, Liwei Jiang +2

Toxicity annotators and content moderators often default to mental shortcuts when making decisions. This can lead to subtle toxicity being missed, and seemingly toxic but harmless…

cs.CL2023★ 3 cited

Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing

Jaehun Jung, Peter West, Liwei Jiang +5

We present Impossible Distillation, a novel framework for paraphrasing and sentence summarization, that distills a high-quality dataset and model from a low-quality teacher that it…