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Nathan Godey
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2020 – today
- 2025
- [i7]Nathan Godey, Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini, Éric de la Clergerie, Benoît Sagot:
Q-Filters: Leveraging QK Geometry for Efficient KV Cache Compression. CoRR abs/2503.02812 (2025) - 2024
- [c4]Nathan Godey, Éric de la Clergerie, Benoît Sagot:
On the Scaling Laws of Geographical Representation in Language Models. LREC/COLING 2024: 12416-12422 - [c3]Nathan Godey, Éric Villemonte de la Clergerie, Benoît Sagot:
Anisotropy Is Inherent to Self-Attention in Transformers. EACL (1) 2024: 35-48 - [c2]Nathan Godey, Éric Villemonte de la Clergerie, Benoît Sagot:
Headless Language Models: Learning without Predicting with Contrastive Weight Tying. ICLR 2024 - [i6]Nathan Godey, Éric de la Clergerie, Benoît Sagot:
Anisotropy Is Inherent to Self-Attention in Transformers. CoRR abs/2401.12143 (2024) - [i5]Nathan Godey, Éric de la Clergerie, Benoît Sagot:
On the Scaling Laws of Geographical Representation in Language Models. CoRR abs/2402.19406 (2024) - [i4]Nathan Godey, Éric de la Clergerie, Benoît Sagot:
Why do small language models underperform? Studying Language Model Saturation via the Softmax Bottleneck. CoRR abs/2404.07647 (2024) - 2023
- [i3]Nathan Godey, Éric de la Clergerie, Benoît Sagot:
Is Anisotropy Inherent to Transformers? CoRR abs/2306.07656 (2023) - [i2]Nathan Godey, Éric de la Clergerie, Benoît Sagot:
Headless Language Models: Learning without Predicting with Contrastive Weight Tying. CoRR abs/2309.08351 (2023) - 2022
- [c1]Nathan Godey, Roman Castagné, Éric de la Clergerie, Benoît Sagot:
MANTa: Efficient Gradient-Based Tokenization for End-to-End Robust Language Modeling. EMNLP (Findings) 2022: 2859-2870 - [i1]Nathan Godey, Roman Castagné, Éric de la Clergerie, Benoît Sagot:
MANTa: Efficient Gradient-Based Tokenization for Robust End-to-End Language Modeling. CoRR abs/2212.07284 (2022)
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