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Milagro Teruel
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2020 – today
- 2024
- [c11]Nikhil Mehta, Milagro Teruel, Xin Deng, Sergio Figueroa Sanz, Ahmed Awadallah, Julia Kiseleva:
Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback. EACL (Findings) 2024: 1306-1321 - 2023
- [c10]Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron Halfaker, Dragomir Radev, Ahmed Hassan Awadallah:
On Improving Summarization Factual Consistency from Natural Language Feedback. ACL (1) 2023: 15144-15161 - [i6]Nikhil Mehta, Milagro Teruel, Patricio Figueroa Sanz, Xin Deng, Ahmed Hassan Awadallah, Julia Kiseleva:
Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback. CoRR abs/2304.10750 (2023) - [i5]Shrestha Mohanty, Negar Arabzadeh, Julia Kiseleva, Artem Zholus, Milagro Teruel, Ahmed Awadallah, Yuxuan Sun, Kavya Srinet, Arthur Szlam:
Transforming Human-Centered AI Collaboration: Redefining Embodied Agents Capabilities through Interactive Grounded Language Instructions. CoRR abs/2305.10783 (2023) - 2022
- [i4]Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi
, Milagro Teruel, Ziming Li, Mikhail Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr I. Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Awadallah:
IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022. CoRR abs/2205.13771 (2022) - [i3]Alexey Skrynnik, Zoya Volovikova, Marc-Alexandre Côté, Anton Voronov, Artem Zholus, Negar Arabzadeh, Shrestha Mohanty, Milagro Teruel, Ahmed Awadallah, Aleksandr Panov, Mikhail Burtsev, Julia Kiseleva:
Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions. CoRR abs/2211.00688 (2022) - [i2]Shrestha Mohanty, Negar Arabzadeh, Milagro Teruel, Yuxuan Sun, Artem Zholus, Alexey Skrynnik, Mikhail Burtsev, Kavya Srinet, Aleksandr Panov, Arthur Szlam, Marc-Alexandre Côté, Julia Kiseleva:
Collecting Interactive Multi-modal Datasets for Grounded Language Understanding. CoRR abs/2211.06552 (2022) - [i1]Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron Halfaker, Dragomir Radev, Ahmed Hassan Awadallah:
On Improving Summarization Factual Consistency from Natural Language Feedback. CoRR abs/2212.09968 (2022) - 2021
- [c9]Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Awadallah, Seungeun Rho, Taehwan Kwon, Daniel Wontae Nam, Felipe Bivort Haiek, Edwin Zhang, Linar Abdrazakov, Guo Qingyam, Jason Zhang, Zhibin Guo:
Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition. NeurIPS (Competition and Demos) 2021: 204-216
2010 – 2019
- 2019
- [c8]Cristian Cardellino, Laura Alonso Alemany
Convolutional Ladder Networks for Legal NERC and the Impact of Unsupervised Data in Better Generalizations. FLAIRS 2019: 155-160 - [c7]Johanna Frau, Milagro Teruel, Laura Alonso Alemany
Different Flavors of Attention Networks for Argument Mining. FLAIRS 2019: 173-178 - 2018
- [c6]Milagro Teruel, Cristian Cardellino, Fernando Cardellino, Laura Alonso Alemany
Increasing Argument Annotation Reproducibility by Using Inter-annotator Agreement to Improve Guidelines. LREC 2018 - [c5]Milagro Teruel, Laura Alonso Alemany
Co-embeddings for Student Modeling in Virtual Learning Environments. UMAP 2018: 73-80 - 2017
- [c4]Cristian Cardellino
Legal NERC with ontologies, Wikipedia and curriculum learning. EACL (2) 2017: 254-259 - [c3]Cristian Cardellino, Milagro Teruel, Laura Alonso Alemany
Learning Slowly To Learn Better: Curriculum Learning for Legal Ontology Population. FLAIRS 2017: 252-257 - [c2]Cristian Cardellino
A low-cost, high-coverage legal named entity recognizer, classifier and linker. ICAIL 2017: 9-18 - [c1]Cristian Cardellino, Milagro Teruel, Laura Alonso Alemany
Ontology Population and Alignment for the Legal Domain: YAGO, Wikipedia and LKIF. ISWC (Posters, Demos & Industry Tracks) 2017
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