Sellam, Thibault

BLEURT: Learning Robust Metrics for Text Generation

Sellam, T., Das, D., & Parikh, A. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 1,005

BLEURT: Learning Robust Metrics for Text Generation

Sellam, T., Das, D., & Parikh, A. P. (2020) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,005

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

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

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

Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text

Gehrmann, S., Clark, E., & Sellam, T. (2023) · Journal of Artificial Intelligence Research

Natural Language Processing TechniquesTopic Modeling

Cited by 123

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

Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation

Tian, R., Narayan, S., Sellam, T., & Parikh, A. P. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 60

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

The MultiBERTs: BERT Reproductions for Robustness Analysis

Sellam, T., Yadlowsky, S., Wei, J., Saphra, N., D'Amour, A., Linzen, T., Bastings, J., Turc, I., Eisenstein, J., Das, D., et al. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 37

Reward Gaming in Conditional Text Generation

Pang, R. Y., Padmakumar, V., Sellam, T., Parikh, A. P., & He, H. (2022) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 2