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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 Page: 1 2 Hits 1 – 20 of 25 1 Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains ... Albalak, Alon; Levy, Sharon; Wang, William Yang. - : arXiv, 2022 BASE Show details 2 Imagination-Augmented Natural Language Understanding ... Lu, Yujie; Zhu, Wanrong; Wang, Xin Eric. - : arXiv, 2022 BASE Show details 3 A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space ... Jones, Alex; Wang, William Yang; Mahowald, Kyle. - : arXiv, 2021 BASE Show details 4 Question Answering over Text and Tables ... 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; Wang, William Yang. - : Underline Science Inc., 2021 BASE Show details 5 Investigating Memorization of Conspiracy Theories in Text Generation ... 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; Levy, Sharon; Saxon, Michael; Wang, William Yang. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.416 Abstract: The adoption of natural language generation (NLG) models can leave individuals vulnerable to the generation of harmful information memorized by the models, such as conspiracy theories. While previous studies examine conspiracy theories in the context of social media, they have not evaluated their presence in the new space of generative language models. In this work, we investigate the capability of language models to generate conspiracy theory text. Specifically, we aim to answer: can we test pretrained generative language models for the memorization and elicitation of conspiracy theories without access to the model's training data? We highlight the difficulties of this task and discuss it in the context of memorization, generalization, and hallucination. Utilizing a new dataset consisting of conspiracy theory topics and machine-generated conspiracy theories helps us discover that many conspiracy theories are deeply rooted in the ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Neural Network; Semantics URL: https://dx.doi.org/10.48448/dkm4-bx93 https://underline.io/lecture/26507-investigating-memorization-of-conspiracy-theories-in-text-generation BASE Hide details 6 Neural Stylistic Response Generation with Disentangled Latent Variables ... 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; Liu, Ting; Wang, William Yang. - : Underline Science Inc., 2021 BASE Show details 7 Modeling Disclosive Transparency in NLP Application Descriptions ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Albalak, Alon; Levy, Sharon. - : Underline Science Inc., 2021 BASE Show details 8 A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Jones, Alex; Mahowald, Kyle. - : Underline Science Inc., 2021 BASE Show details 9 Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering ... Xiong, Wenhan; Wang, Hong; Wang, William Yang. - : arXiv, 2020 BASE Show details 10 Evaluating Transformer-Based Multilingual Text Classification ... Groenwold, Sophie; Honnavalli, Samhita; Ou, Lily. - : arXiv, 2020 BASE Show details 11 Cross-Lingual Vision-Language Navigation ... Yan, An; Wang, Xin Eric; Feng, Jiangtao. - : arXiv, 2019 BASE Show details 12 TabFact: A Large-scale Dataset for Table-based Fact Verification ... Chen, Wenhu; Wang, Hongmin; Chen, Jianshu. - : arXiv, 2019 BASE Show details 13 Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization ... Li, Siyao; Lei, Deren; Qin, Pengda. - : arXiv, 2019 BASE Show details 14 Analyzing and Interpreting Convolutional Neural Networks in NLP ... Koupaee, Mahnaz; Wang, William Yang. - : arXiv, 2018 BASE Show details 15 Simple Models for Word Formation in English Slang ... Kulkarni, Vivek; Wang, William Yang. - : arXiv, 2018 BASE Show details 16 Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media ... ElSherief, Mai; Kulkarni, Vivek; Nguyen, Dana. - : arXiv, 2018 BASE Show details 17 "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection ... Wang, William Yang. - : arXiv, 2017 BASE Show details 18 TFW, DamnGina, Juvie, and Hotsie-Totsie: On the Linguistic and Social Aspects of Internet Slang ... Kulkarni, Vivek; Wang, William Yang. - : arXiv, 2017 BASE Show details 19 Automatic detection of speaker state: Lexical, prosodic, and phonetic approaches to level-of-interest and intoxication classification Wang, William Yang; Biadsy, Fadi; Rosenberg, Andrew... In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 1, 168-189 OLC Linguistik Show details 20 “Love ya, jerkface”: using Sparse Log-Linear Models to Build Positive (and Impolite) Relationships with Teens ... Wang, William Yang; Finkelstein, Samantha; Ogan, Amy. - : Carnegie Mellon University, 2012 BASE Show details Page: 1 2

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