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Gergely Szilvasy
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2020 – today
- 2026
- [j1]Matthijs Douze
, Alexandr Guzhva, Chengqi Deng, Jeff Johnson
The Faiss Library. IEEE Trans. Big Data 12(2): 346-361 (2026) - [i10]Gergely Szilvasy, Manuel Faysse, Maria Lomeli, Matthijs Douze, Pierre-Emmanuel Mazaré, Loïc Cabannes, Wen-tau Yih, Hervé Jégou:
Self-Pruned Key-Value Attention: Learning When to Write by Predicting Future Utility. CoRR abs/2605.14037 (2026) - [i9]Loïc Cabannes, Pierre-Emmanuel Mazaré, Gergely Szilvasy, Matthijs Douze, Maria Lomeli, Ilze Amanda Auzina, Justin Carpentier, Gabriel Synnaeve, Hervé Jégou:
Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity. CoRR abs/2607.07386 (2026) - [i8]Swann Bessa, Pierre Fernandez, Gergely Szilvasy, Matthijs Douze, Hervé Jégou:
Cluster with Auctions for Vector Search. CoRR abs/2607.13728 (2026) - 2025
- [i7]Pierre-Emmanuel Mazaré, Gergely Szilvasy, Maria Lomeli, Francisco Massa, Naila Murray, Hervé Jégou, Matthijs Douze:
Inference-time sparse attention with asymmetric indexing. CoRR abs/2502.08246 (2025) - [i6]Maria Lomeli, Matthijs Douze, Gergely Szilvasy, Loïc Cabannes, Jade Copet, Sainbayar Sukhbaatar, Jason Weston, Gabriel Synnaeve, Pierre-Emmanuel Mazaré, Hervé Jégou:
Stochastic activations. CoRR abs/2509.22358 (2025) - [i5]Loïc Cabannes, Maximilian Beck, Gergely Szilvasy, Matthijs Douze, Maria Lomeli, Jade Copet, Pierre-Emmanuel Mazaré, Gabriel Synnaeve, Hervé Jégou:
Short window attention enables long-term memorization. CoRR abs/2509.24552 (2025) - 2024
- [c1]Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Richard James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih:
RA-DIT: Retrieval-Augmented Dual Instruction Tuning. ICLR 2024 - [i4]Matthijs Douze, Alexandr Guzhva, Chengqi Deng, Jeff Johnson, Gergely Szilvasy, Pierre-Emmanuel Mazaré, Maria Lomeli, Lucas Hosseini, Hervé Jégou:
The Faiss library. CoRR abs/2401.08281 (2024) - [i3]Gergely Szilvasy, Pierre-Emmanuel Mazaré, Matthijs Douze:
Vector search with small radiuses. CoRR abs/2403.10746 (2024) - [i2]Aaditya K. Singh, Muhammed Yusuf Kocyigit, Andrew Poulton, David Esiobu, Maria Lomeli, Gergely Szilvasy, Dieuwke Hupkes:
Evaluation data contamination in LLMs: how do we measure it and (when) does it matter? CoRR abs/2411.03923 (2024) - 2023
- [i1]Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Rich James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Scott Yih:
RA-DIT: Retrieval-Augmented Dual Instruction Tuning. CoRR abs/2310.01352 (2023)
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