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ORCIDSébastien Montella
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2020 – today
- 2024
[c5]Damien Graux
, Sébastien Montella, Hajira Jabeen, Claire Gardent, Jeff Z. Pan:
[PromptEng] First International Workshop on Prompt Engineering for Pre-Trained Language Models. WWW (Companion Volume) 2024: 1311-1312- [i5]Wenyu Huang, Guancheng Zhou, Mirella Lapata, Pavlos Vougiouklis, Sébastien Montella, Jeff Z. Pan:
Prompting Large Language Models with Knowledge Graphs for Question Answering Involving Long-tail Facts. CoRR abs/2405.06524 (2024) - 2023
- [c4]Sébastien Montella, Alexis Nasr, Johannes Heinecke, Frédéric Béchet, Lina Maria Rojas-Barahona:
Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters. EACL 2023: 727-736 - [i4]Sébastien Montella, Alexis Nasr, Johannes Heinecke, Frédéric Béchet, Lina Maria Rojas-Barahona:
Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters. CoRR abs/2302.05900 (2023) - 2022
- [j1]Sébastien Montella, Brieuc Berruet, Oumaya Baala, Valéry Guillet, Alexandre Caminada, Frédéric Lassabe:
A Funnel Fukunaga-Koontz Transform for Robust Indoor-Outdoor Detection Using Channel-State Information in 5G IoT Context. IEEE Internet Things J. 9(15): 14018-14029 (2022) - [i3]Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou:
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR abs/2206.11249 (2022) - 2021
- [c3]Sébastien Montella, Lina Maria Rojas-Barahona, Johannes Heinecke:
Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures. ACL/IJCNLP (Findings) 2021: 3296-3308 - [i2]Sébastien Montella, Lina Maria Rojas-Barahona, Johannes Heinecke:
Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures. CoRR abs/2106.04311 (2021) - 2020
- [i1]Sébastien Montella, Betty Fabre, Tanguy Urvoy, Johannes Heinecke, Lina Maria Rojas-Barahona:
Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers. CoRR abs/2012.00571 (2020)
2010 – 2019
- 2017
- [c2]Yu-Han Chen, Sébastien Montella, Wei-Han Chen, Chia-Hui Chang:
WIDM at NTCIR-13 STC-2. NTCIR 2017 - [c1]Yu-Ching Chen, Chia-Ching Yang, Yu-Han Chen, Sébastien Montella, Chia-Hui Chang, Pin-Liang Chen, Ping-Che Yang, Tsun Ku:
Structured Learning Applied to Consumer Goods Recommended. TAAI 2017: 88-91
Coauthor Index
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