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Sebastian Gehrmann et al. (76 authors), "GEMv2: Multilingual NLG Benchmarking in a
Single Line of Code", Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP): System Demonstration
2025
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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",
Knowledge-Based Systems (Elsevier)
Paper
2022
-
Sébastien Montella, Brieuc Berruet, Oumaya Baala, Valérie Guillet,
Frédéric Lassabe, Alexandre Caminada, "A Funnel Fukunaga-Koontz
Transform for Robust Indoor-Outdoor Detection Using Channel State Information
in 5G IoT Context",
IEEE Internet of Things Journal 2022
Paper
Peer-Reviewed Conference Papers
2025
-
Yiming Du, Wenyu Huang, Danna Zheng, Zhaowei Wang, Sébastien Montella, Mirella Lapata, Kam-Fai Wong, Jeff Z Pan,
"Rethinking Memory in AI: Taxonomy, Operations, Topics, and Future Directions",
(under review)
Paper
-
Kaustubh Vyas, Damien Graux, Yijun Yang, Sébastien Montella, Chenxin Diao, Wendi Zhou, Pavlos Vougiouklis, Ruofei Lai, Yang Ren, Keshuang Li, Jeff Z Pan
"From An LLM Swarm To A PDDL-Empowered HIVE: Planning Self-Executed Instructions In A Multi-Modal Jungle",
ICLR 2025
Paper
2023
-
Sébastien Montella, Alexis Nasr, Johannes Heinecke, Frederic Bechet, Lina M. Rojas-Barahona,
"Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters",
EACL 2023
Paper
2021
-
Sébastien Montella, Lina Rojas-Barahona, Johannes Heinecke,
"Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures",
Findings of ACL-IJCNLP 2021
Paper
2017
-
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",
Proceedings of the 2017 Conference on Technologies and
Applications of Artificial Intelligence, Taiwan (2017)
Paper
2025
-
Kaustubh Vyas, Damien Graux, Sébastien Montella, Pavlos Vougiouklis, Ruofei Lai, Keshuang Li, Yang Ren, Jeff Z. Pan,
"An Extensive Evaluation of PDDL Capabilities in off-the-shelf LLMs",
(under review)
Paper
2022
-
Sébastien Montella, Lina M. Rojas-Barahona, Frederic Bechet, Johannes Heinecke, Alexis Nasr,
"Transfer Learning and Masked Generation for Answer Verbalization",
Structured and Unstructured Knowledge Integration Workshop at NAACL 2022
Paper
Code
2020
-
Sébastien Montella, Betty Fabre, Tanguy Urvoy, Johannes Heinecke, Lina Rojas-Barahona,
"Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers",
Proceedings of the WebNLG+ Worskshop at INLG2020
Paper
2019
-
Sébastien Montella, Chia-Hui Chang, Frédéric Lassabe, "Emotionally-Triggered
Short Text Conversation using Attention-Based Sequence Generation Model",
Proceedings of NTCIR-14 Conference, Tokyo, Japan (2019)
Paper
2017
-
Yu-Han Chen, Sébastien Montella, Wei-Han Chen, Chia-Hui Chang, "
WIDM at the NTCIR-13 STC-2 Task",
Proceedings of NTCIR-13 Conference, Japan (2017)
Paper