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21 Results
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Poster
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Mon 2:30 |
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models Shansan Gong · Mukai Li · Jiangtao Feng · Zhiyong Wu · Lingpeng Kong |
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Poster
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Leveraging Large Language Models for Multiple Choice Question Answering Joshua Robinson · David Wingate |
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Poster
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Wed 2:30 |
Linear Connectivity Reveals Generalization Strategies Jeevesh Juneja · Rachit Bansal · Kyunghyun Cho · João Sedoc · Naomi Saphra |
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Poster
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TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization Bairu Hou · Jinghan Jia · Yihua Zhang · Guanhua Zhang · Yang Zhang · Sijia Liu · Shiyu Chang |
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Poster
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Federated Nearest Neighbor Machine Translation Yichao Du · Zhirui Zhang · Bingzhe Wu · lemao liu · Tong Xu · Enhong Chen |
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Poster
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Mon 2:30 |
Human-Guided Fair Classification for Natural Language Processing Florian Eddie Dorner · Momchil Peychev · Nikola Konstantinov · Naman Goel · Elliott Ash · Martin Vechev |
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Poster
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Text Summarization with Oracle Expectation Yumo Xu · Mirella Lapata |
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Poster
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KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP Yufei Wang · Jiayi Zheng · Can Xu · Xiubo Geng · Tao Shen · Chongyang Tao · Daxin Jiang |
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Oral
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Wed 6:00 |
Language Modelling with Pixels Phillip Rust · Jonas F. Lotz · Emanuele Bugliarello · Elizabeth Salesky · Miryam de Lhoneux · Desmond Elliott |
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Oral
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Wed 6:20 |
WikiWhy: Answering and Explaining Cause-and-Effect Questions Matthew Ho · Aditya Sharma · Justin Chang · Michael Saxon · Sharon Levy · Yujie Lu · William Wang |
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Poster
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Wed 7:30 |
WikiWhy: Answering and Explaining Cause-and-Effect Questions Matthew Ho · Aditya Sharma · Justin Chang · Michael Saxon · Sharon Levy · Yujie Lu · William Wang |
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Oral
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Mon 1:10 |
Human-Guided Fair Classification for Natural Language Processing Florian Eddie Dorner · Momchil Peychev · Nikola Konstantinov · Naman Goel · Elliott Ash · Martin Vechev |