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Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation

May 02, 2023
Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard A. Moser, Sergei Pereverzyev, Sepp Hochreiter, Werner Zellinger

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ELODIN: Naming Concepts in Embedding Spaces

Mar 09, 2023
Rodrigo Mello, Filipe Calegario, Geber Ramalho

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CAVL: Learning Contrastive and Adaptive Representations of Vision and Language

Apr 10, 2023
Shentong Mo, Jingfei Xia, Ihor Markevych

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Automated Reading Passage Generation with OpenAI's Large Language Model

Apr 10, 2023
Ummugul Bezirhan, Matthias von Davier

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Benchmarking Spatial Relationships in Text-to-Image Generation

Dec 20, 2022
Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang

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A Drop of Ink may Make a Million Think: The Spread of False Information in Large Language Models

May 08, 2023
Ning Bian, Peilin Liu, Xianpei Han, Hongyu Lin, Yaojie Lu, Ben He, Le Sun

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Coherent Wave Dynamics and Language Generation of a Generative Pre-trained Transformer

May 08, 2023
Tao Hong

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E-NER -- An Annotated Named Entity Recognition Corpus of Legal Text

Dec 19, 2022
Ting Wai Terence Au, Ingemar J. Cox, Vasileios Lampos

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Probabilistic Prompt Learning for Dense Prediction

Apr 03, 2023
Hyeongjun Kwon, Taeyong Song, Somi Jeong, Jin Kim, Jinhyun Jang, Kwanghoon Sohn

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Enhancing Clinical Evidence Recommendation with Multi-Channel Heterogeneous Learning on Evidence Graphs

Apr 03, 2023
Maolin Luo, Xiang Zhang

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