Chaabouni, Rahma
8 papers on CoChatORCID 0000-0002-9196-1397
Most cited papers
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Gemini: A Family of Highly Capable Multimodal Models
Gemini Team, Anil, R., Borgeaud, S., Alayrac, J.-B., Yu, J., Soricut, R., Schalkwyk, J., Dai, A. M., Hauth, A., Millican, K., et al. (2023) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 990
- Verified
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Gemini Team, Georgiev, P., Lei, V. I., Burnell, R., Bai, L., Gulati, A., Tanzer, G., Vincent, D., Pan, Z., Wang, S., et al. (2024) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 306
- Verified
Gemma: Open Models Based on Gemini Research and Technology
Gemma Team, Mesnard, T., Hardin, C., Dadashi, R., Bhupatiraju, S., Pathak, S., Sifre, L., Rivière, M., Kale, M. S., Love, J., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 284
- Verified
Gemma 4 Technical Report
Gemma Team, Abd, S. E., Aggarwal, V., Algayres, R., Andreev, A., Bachem, O., Ballantyne, I., Brick, C., Cărbune, V., Casbon, M., et al. (2026) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 112
- Verified
Anti-efficient encoding in emergent communication
Chaabouni, R., Kharitonov, E., Dupoux, E., & Baroni, M. (2019) · arXiv
Language and cultural evolutionSyntax, Semantics, Linguistic Variation
Cited by 85
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Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 69
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Communicating artificial neural networks develop efficient color-naming systems
Chaabouni, R., Kharitonov, E., Dupoux, E., & Baroni, M. (2021) · Proceedings of the National Academy of Sciences
Categorization, perception, and languageLanguage and cultural evolution
Cited by 39
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“LazImpa”: Lazy and impatient neural agents learn to communicate efficiently
Rita, M., Chaabouni, R., & Dupoux, E. (2020) · Proceedings of the 24th Conference on Computational Natural Language Learning
Language and cultural evolutionSyntax, Semantics, Linguistic Variation
Cited by 17
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