Bosselut, Antoine
École Polytechnique Fédérale de Lausanne
16 papers on CoChatORCID 0000-0001-8968-9649
Most cited papers
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On the Opportunities and Risks of Foundation Models
Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., et al. (2021) · arXiv
Ethics and Social Impacts of AIArtificial Intelligence Applications
Cited by 2,676
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COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
Bosselut, A., Rashkin, H., Sap, M., Malaviya, C., Celikyilmaz, A., & Choi, Y. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Topic ModelingMultimodal Machine Learning Applications
Cited by 904
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Learning to Write with Cooperative Discriminators
Holtzman, A., Buys, J., Forbes, M., Bosselut, A., Golub, D., & Choi, Y. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 192
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The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Gehrmann, S., Adewumi, T., Aggarwal, K., Ammanamanchi, P. S., Aremu, A., Bosselut, A., Chandu, K. R., Clinciu, M.-A., Das, D., Dhole, K., et al. (2021) · Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021)
Natural Language Processing TechniquesTopic Modeling
Cited by 159
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A Design Space for Intelligent and Interactive Writing Assistants
Lee, M., Gero, K. I., Chung, J. J. Y., Shum, S. B., Raheja, V., Shen, H., Venugopalan, S., Wambsganss, T., Zhou, D., Alghamdi, E. A., et al. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems
Usability and User Interface DesignInnovative Human-Technology Interaction
Cited by 136
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MEDITRON-70B: Scaling Medical Pretraining for Large Language Models
Chen, Z., Cano, A. H., Romanou, A., Bonnet, A., Matoba, K., Salvi, F., Pagliardini, M., Fan, S., Köpf, A., Mohtashami, A., et al. (2023) · arXiv
Artificial Intelligence in Healthcare and EducationTopic Modeling
Cited by 122
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Measuring what Matters: Construct Validity in Large Language Model Benchmarks
Bean, A. M., Kearns, R. O., Romanou, A., Hafner, F. S., Mayne, H., Batzner, J., Foroutan Eghlidi, N., Schmitz, C., Korgul, K., Batra, H., et al. (2025) · Advances in Neural Information Processing Systems 38
Topic ModelingNatural Language Processing Techniques
Cited by 110
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Fast Model Editing at Scale
Mitchell, E., Lin, C., Bosselut, A., Finn, C., & Manning, C. D. (2021) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 95
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Memory-Based Model Editing at Scale
Mitchell, E., Lin, C., Bosselut, A., Manning, C. D., & Finn, C. (2022) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 51
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The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Gehrmann, S., Adewumi, T., Aggarwal, K., Ammanamanchi, P. S., Anuoluwapo, A., Bosselut, A., Chandu, K. R., Clinciu, M., Das, D., Dhole, K. D., et al. (2021) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 49
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Brittlebench: Quantifying LLM robustness via prompt sensitivity
Romanou, A., Ibrahim, M., Ross, C., Oktar, K., Shaib, C., Bell, S. J., Ovalle, A., Bosselut, A., Dodge, J., Sinha, K., et al. (2026) · arXiv
Topic ModelingAdversarial Robustness in Machine Learning
Cited by 24
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Evaluating Morphological Compositional Generalization in Large Language Models
Ismayilzada, M., Circi, D., Sälevä, J., Sirin, H., Köksal, A., Dhingra, B., Bosselut, A., Ataman, D., & Plas, L. V. D. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Natural Language Processing TechniquesTopic Modeling
Cited by 18
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On-the-Fly Attention Modulation for Neural Generation
Dong, Y., Bhagavatula, C., Lu, X., Hwang, J. D., Bosselut, A., Cheung, J. C. K., & Choi, Y. (2021) · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Topic ModelingNatural Language Processing Techniques
Cited by 10
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A Logical Fallacy-Informed Framework for Argument Generation
Mouchel, L., Paul, D., Cui, S., West, R., Bosselut, A., & Faltings, B. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Linguistics and Discourse AnalysisTopic Modeling
Cited by 7
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Creativity in AI: Progresses and Challenges
Ismayilzada, M., Paul, D., Bosselut, A., & van der Plas, L. (2024) · arXiv
Creativity in Education and NeuroscienceArtificial Intelligence in Games
Cited by 3
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Let Me Teach You: Pedagogical Foundations of Feedback for Language Models
Borges, B., Tandon, N., Käser, T., & Bosselut, A. (2023) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 0
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