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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 13 of 13 1 COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics ... Qin, Lianhui; Welleck, Sean; Khashabi, Daniel. - : arXiv, 2022 BASE Show details 2 Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? ... Zhao, Jieyu; Khashabi, Daniel; Khot, Tushar. - : arXiv, 2021 BASE Show details 3 Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies ... Geva, Mor; Khashabi, Daniel; Segal, Elad. - : arXiv, 2021 BASE Show details 4 Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chang, Kai-Wei; Khashabi, Daniel; Khot, Tushar; Sabharwal, Ashish; Zhao, Jieyu. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.364 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 ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Neural Network; Semantics URL: https://underline.io/lecture/26455-ethical-advice-taker-do-language-models-understand-natural-language-interventionsquestion https://dx.doi.org/10.48448/2ybp-7390 BASE Hide details 5 NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics ... Lu, Ximing; Welleck, Sean; West, Peter. - : arXiv, 2021 BASE Show details 6 ParsiNLU: A Suite of Language Understanding Challenges for Persian ... Khashabi, Daniel; Cohan, Arman; Shakeri, Siamak. - : arXiv, 2020 BASE Show details 7 Evaluating Models' Local Decision Boundaries via Contrast Sets ... Gardner, Matt; Artzi, Yoav; Basmova, Victoria. - : arXiv, 2020 BASE Show details 8 TransOMCS: From Linguistic Graphs to Commonsense Knowledge ... Zhang, Hongming; Khashabi, Daniel; Song, Yangqiu. - : arXiv, 2020 BASE Show details 9 Solving Hard Coreference Problems ... Peng, Haoruo; Khashabi, Daniel; Roth, Dan. - : arXiv, 2019 BASE Show details 10 On the Possibilities and Limitations of Multi-hop Reasoning Under Linguistic Imperfections ... Khashabi, Daniel; Azer, Erfan Sadeqi; Khot, Tushar. - : arXiv, 2019 BASE Show details 11 Question Answering as Global Reasoning over Semantic Abstractions ... Khashabi, Daniel; Khot, Tushar; Sabharwal, Ashish. - : arXiv, 2019 BASE Show details 12 Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims ... Chen, Sihao; Khashabi, Daniel; Yin, Wenpeng. - : arXiv, 2019 BASE Show details 13 Distributed knowledge based clinical auto-coding system Kaur, Rajvir (S33301). - : U.S., Association for Computational Linguistics, 2019 BASE Show details

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