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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; Choi, Yejin. - : arXiv, 2022 Abstract: Many applications of text generation require incorporating different constraints to control the semantics or style of generated text. These constraints can be hard (e.g., ensuring certain keywords are included in the output) and soft (e.g., contextualizing the output with the left- or right-hand context). In this paper, we present Energy-based Constrained Decoding with Langevin Dynamics (COLD), a decoding framework which unifies constrained generation as specifying constraints through an energy function, then performing efficient differentiable reasoning over the constraints through gradient-based sampling. COLD decoding is a flexible framework that can be applied directly to off-the-shelf left-to-right language models without the need for any task-specific fine-tuning, as demonstrated through three challenging text generation applications: lexically-constrained generation, abductive reasoning, and counterfactual reasoning. Our experiments on these constrained generation tasks point to the effectiveness of ... : Updated. code: https://github.com/qkaren/COLD_decoding ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://arxiv.org/abs/2202.11705 https://dx.doi.org/10.48550/arxiv.2202.11705 BASE Hide 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. - : Underline Science Inc., 2021 BASE Show 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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