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Alejo Lopez-Avila

Alejo López-Ávila

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Conference and Workshop Papers

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2024
[c2]
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  - conf/kdd/Chang0LD024
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Heng Chang, Jiangnan Ye, Alejo Lopez-Avila, Jinhua Du, Jia Li:
Path-based Explanation for Knowledge Graph Completion. KDD 2024: 231-242
2023
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Alejo Lopez-Avila, Víctor Suárez-Paniagua:
Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models. EMNLP 2023: 2021-2032

Informal and Other Publications

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2024
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  - journals/corr/abs-2401-02290
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Heng Chang, Jiangnan Ye, Alejo Lopez-Avila, Jinhua Du, Jia Li:
Path-based Explanation for Knowledge Graph Completion. CoRR abs/2401.02290 (2024)
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  - journals/corr/abs-2405-05176
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Tommaso Pasini, Alejo López-Ávila, Husam Quteineh, Gerasimos Lampouras, Jinhua Du, Yubing Wang, Ze Li, Yusen Sun:
Encoder-Decoder Framework for Interactive Free Verses with Generation with Controllable High-Quality Rhyming. CoRR abs/2405.05176 (2024)
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  - journals/corr/abs-2405-10436
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Alejo Lopez-Avila, Jinhua Du, Abbas Shimary, Ze Li:
Positional encoding is not the same as context: A study on positional encoding for Sequential recommendation. CoRR abs/2405.10436 (2024)
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  - journals/corr/abs-2405-14437
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Alejo Lopez-Avila, Víctor Suárez-Paniagua:
Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models. CoRR abs/2405.14437 (2024)

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