基本信息
views: 11
Career Trajectory
Bio
RESEARCH INTERESTS
Neuro-symbolic reasoning methods: I am interested in how symbolic methods and statistic learning can jointly teach models to conduct complex reasoning on knowledge and information. This also covers how models can acquire, encode, and apply knowledge to solve various problems.
Large language model NLP: I am fascinated by how large language models like GPT-3 can encode vast information and generate fluent text. I want to explore how these general purpose models can be used in downstream NLP tasks such as open-domain QA and commonsense reasoning. I am interested in building systems that allow general purpose models to be used in a dynamic real-life setting.
Interpretability, benchmarking, and verified AI: I want to develop new tools and theories that help interpret and probe model behaviors. I also want to build benchmarks that can evaluate models' ability and diagnose potential issues in data and learning, especially asses how reliable a model can be in real-life use cases. I recently started to explore the idea of verified AI, where the goal is to have provable assurances of correctness concerning mathematically-specified requirements.
Design new learning algorithms: How machines can learn to understand and reason similarly to human learning is still open for exploration. I want to design new learning algorithms that help models learn continually, actively, comprehensively, and transparently by drawing inspiration from human cognition.
Neuro-symbolic reasoning methods: I am interested in how symbolic methods and statistic learning can jointly teach models to conduct complex reasoning on knowledge and information. This also covers how models can acquire, encode, and apply knowledge to solve various problems.
Large language model NLP: I am fascinated by how large language models like GPT-3 can encode vast information and generate fluent text. I want to explore how these general purpose models can be used in downstream NLP tasks such as open-domain QA and commonsense reasoning. I am interested in building systems that allow general purpose models to be used in a dynamic real-life setting.
Interpretability, benchmarking, and verified AI: I want to develop new tools and theories that help interpret and probe model behaviors. I also want to build benchmarks that can evaluate models' ability and diagnose potential issues in data and learning, especially asses how reliable a model can be in real-life use cases. I recently started to explore the idea of verified AI, where the goal is to have provable assurances of correctness concerning mathematically-specified requirements.
Design new learning algorithms: How machines can learn to understand and reason similarly to human learning is still open for exploration. I want to design new learning algorithms that help models learn continually, actively, comprehensively, and transparently by drawing inspiration from human cognition.
Research Interests
Papers共 19 篇Author StatisticsCo-AuthorSimilar Experts
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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1 Long Papers)pp.11365-11384, (2024)
Haotian Wu, Paul Boulenger, Antonin Faure, Berta Céspedes, Farouk Boukil, Nastasia Morel,Zeming Chen,Antoine Bosselut
Proceedings of the 23rd Workshop on Biomedical Natural Language Processingpp.696-711, (2024)
Antoine Bosselut,Zeming Chen,Angelika Romanou, Antoine Bonnet, Alejandro Hernández-Cano,Badr Alkhamissi,Kyle Matoba,Francesco Salvi,Matteo Pagliardini,Simin Fan, Andreas Köpf,Amirkeivan Mohtashami, Alexandre Sallinen,Vinitra Swamy, Alireza Sakhaeirad,Igor Krawczuk,Deniz Bayazit,Axel Marmet, Li Mi,Noémie Boillat-Blanco,Kristina Keitel, Javier Elkin, Blaise Robert,Syrielle Montariol, Silvia Bressan, David Chen, Vincent Demers,Nina Emery, Nicolas Glasson, Paulina Mensah,Alix Miauton, Ségolène Roemer,Johan Siebert,Carl Starvaggi,Véronique Suttels,Rainer Tan, R. Taylor,Jacques du Toit,Mary-Anne Hartley,Martin Jaggi
crossref(2024)
Beatriz Borges, Negar Foroutan, Deniz Bayazit, Anna Sotnikova,Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant,Seyed Parsa Neshaei, Jibril Frej,Angelika Romanou,Gail Weiss, Sepideh Mamooler,Zeming Chen, Simin Fan,Silin Gao, Mete Ismayilzada,Debjit Paul, Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho, Alberto Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia,Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé,Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui,Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis,Viktor Kuncak, Volkan Cevher, Philippe Schwaller, Sacha Friedli, Patrick Jermann,Tanja Kaser,Antoine Bosselut
arxiv(2024)
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0
CoRR (2023)
Sherille D. Bradley,Zeming Chen,Brenda Melendez, Amjad H. Talukder, Jahan S. Khalili, Tania Rodríguez-Cruz,Shujuan Liu, Mayra Whittington, Wanleng Deng,Fenge Li,Chantale Bernatchez,Laszlo G. Radvanyi,Michael A. Davies,Patrick Hwu, Gregory Lizée
openalex
Journal of logic, language and information (2023)
arXiv (Cornell University) (2023)
NeurIPS 2023 (2023)
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Author Statistics
#Papers: 19
#Citation: 46
H-Index: 4
G-Index: 6
Sociability: 5
Diversity: 0
Activity: 1
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