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1
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics ...
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2
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? ...
Abstract: Is it possible to use natural language to intervene in a model's behavior and alter its prediction in a desired way? We investigate the effectiveness of natural language interventions for reading-comprehension systems, studying this in the context of social stereotypes. Specifically, we propose a new language understanding task, Linguistic Ethical Interventions (LEI), where the goal is to amend a question-answering (QA) model's unethical behavior by communicating context-specific principles of ethics and equity to it. To this end, we build upon recent methods for quantifying a system's social stereotypes, augmenting them with different kinds of ethical interventions and the desired model behavior under such interventions. Our zero-shot evaluation finds that even today's powerful neural language models are extremely poor ethical-advice takers, that is, they respond surprisingly little to ethical interventions even though these interventions are stated as simple sentences. Few-shot learning improves model ... : 9 pages, Findings of ACL-IJCNLP 2021 ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://arxiv.org/abs/2106.01465
https://dx.doi.org/10.48550/arxiv.2106.01465
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3
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies ...
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4
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? ...
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5
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics ...
Lu, Ximing; Welleck, Sean; West, Peter. - : arXiv, 2021
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6
ParsiNLU: A Suite of Language Understanding Challenges for Persian ...
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7
Evaluating Models' Local Decision Boundaries via Contrast Sets ...
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8
TransOMCS: From Linguistic Graphs to Commonsense Knowledge ...
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9
Solving Hard Coreference Problems ...
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10
On the Possibilities and Limitations of Multi-hop Reasoning Under Linguistic Imperfections ...
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11
Question Answering as Global Reasoning over Semantic Abstractions ...
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12
Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims ...
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13
Distributed knowledge based clinical auto-coding system
Kaur, Rajvir (S33301). - : U.S., Association for Computational Linguistics, 2019
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