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2020 – today
- 2025
[c5]Viraat Aryabumi, Yixuan Su, Raymond Ma, Adrien Morisot, Ivan Zhang, Acyr Locatelli, Marzieh Fadaee, Ahmet Üstün, Sara Hooker:
To Code or Not To Code? Exploring Impact of Code in Pre-training. ICLR 2025- [c4]Laura Ruis, Maximilian Mozes, Juhan Bae, Siddhartha Rao Kamalakara, Dwaraknath Gnaneshwar, Acyr Locatelli, Robert Kirk, Tim Rocktäschel, Edward Grefenstette, Max Bartolo:
Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models. ICLR 2025 - [i13]Bowen Yang, Bharat Venkitesh, Dwarak Talupuru, Hangyu Lin, David Cairuz, Phil Blunsom, Acyr Locatelli:
Rope to Nope and Back Again: A New Hybrid Attention Strategy. CoRR abs/2501.18795 (2025) - [i12]Saurabh Dash, Yiyang Nan, John Dang, Arash Ahmadian, Shivalika Singh, Madeline Smith, Bharat Venkitesh, Vlad Shmyhlo, Viraat Aryabumi, Walter Beller-Morales, Jeremy Pekmez, Jason Ozuzu, Pierre Richemond, Acyr Locatelli, Nick Frosst, Phil Blunsom, Aidan N. Gomez, Ivan Zhang, Marzieh Fadaee, Manoj Govindassamy, Sudip Roy, Matthias Gallé, Beyza Ermis, Ahmet Üstün, Sara Hooker:
Aya Vision: Advancing the Frontier of Multilingual Multimodality. CoRR abs/2505.08751 (2025) - [i11]Diana Abagyan, Alejandro Salamanca, Felipe Cruz-Salinas, Kris Cao, Hangyu Lin, Acyr Locatelli, Marzieh Fadaee, Ahmet Üstün, Sara Hooker:
One Tokenizer To Rule Them All: Emergent Language Plasticity via Multilingual Tokenizers. CoRR abs/2506.10766 (2025) - 2024
- [c3]Ted Zadouri, Ahmet Üstün, Arash Ahmadian, Beyza Ermis, Acyr Locatelli, Sara Hooker:
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning. ICLR 2024 - [c2]Yuhong Li, Yingbing Huang, Bowen Yang, Bharat Venkitesh, Acyr Locatelli, Hanchen Ye, Tianle Cai, Patrick Lewis, Deming Chen:
SnapKV: LLM Knows What You are Looking for Before Generation. NeurIPS 2024 - [c1]Qizhen (Irene) Zhang, Nikolas Gritsch, Dwaraknath Gnaneshwar, Simon Guo, David Cairuz, Bharat Venkitesh, Jakob N. Foerster, Phil Blunsom, Sebastian Ruder, Ahmet Üstün, Acyr Locatelli:
BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts. NeurIPS 2024 - [i10]Yuhong Li, Yingbing Huang, Bowen Yang, Bharat Venkitesh, Acyr Locatelli, Hanchen Ye, Tianle Cai, Patrick Lewis, Deming Chen:
SnapKV: LLM Knows What You are Looking for Before Generation. CoRR abs/2404.14469 (2024) - [i9]Viraat Aryabumi, John Dang, Dwarak Talupuru, Saurabh Dash, David Cairuz, Hangyu Lin, Bharat Venkitesh, Madeline Smith, Jon Ander Campos, Yi Chern Tan, Kelly Marchisio, Max Bartolo, Sebastian Ruder, Acyr Locatelli, Julia Kreutzer, Nick Frosst, Aidan N. Gomez, Phil Blunsom, Marzieh Fadaee, Ahmet Üstün, Sara Hooker:
Aya 23: Open Weight Releases to Further Multilingual Progress. CoRR abs/2405.15032 (2024) - [i8]Qizhen Zhang, Nikolas Gritsch, Dwaraknath Gnaneshwar, Simon Guo, David Cairuz, Bharat Venkitesh, Jakob N. Foerster, Phil Blunsom, Sebastian Ruder, Ahmet Üstün, Acyr Locatelli:
BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts. CoRR abs/2408.08274 (2024) - [i7]Viraat Aryabumi, Yixuan Su, Raymond Ma, Adrien Morisot, Ivan Zhang, Acyr Locatelli, Marzieh Fadaee, Ahmet Üstün, Sara Hooker:
To Code, or Not To Code? Exploring Impact of Code in Pre-training. CoRR abs/2408.10914 (2024) - [i6]Nikolas Gritsch, Qizhen Zhang, Acyr Locatelli, Sara Hooker, Ahmet Üstün:
Nexus: Specialization meets Adaptability for Efficiently Training Mixture of Experts. CoRR abs/2408.15901 (2024) - [i5]Zhengyan Shi, Sander Land, Acyr Locatelli, Matthieu Geist, Max Bartolo:
Understanding Likelihood Over-optimisation in Direct Alignment Algorithms. CoRR abs/2410.11677 (2024) - [i4]Laura Ruis, Maximilian Mozes, Juhan Bae, Siddhartha Rao Kamalakara, Dwarak Talupuru, Acyr Locatelli, Robert Kirk, Tim Rocktäschel, Edward Grefenstette, Max Bartolo:
Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models. CoRR abs/2411.12580 (2024) - [i3]John Dang, Shivalika Singh, Daniel D'souza, Arash Ahmadian, Alejandro Salamanca, Madeline Smith, Aidan Peppin, Sungjin Hong, Manoj Govindassamy, Terrence Zhao, Sandra Kublik, Meor Amer, Viraat Aryabumi, Jon Ander Campos, Yi Chern Tan, Tom Kocmi, Florian Strub, Nathan Grinsztajn, Yannis Flet-Berliac, Acyr Locatelli, Hangyu Lin, Dwarak Talupuru, Bharat Venkitesh, David Cairuz, Bowen Yang, Tim Chung, Wei-Yin Ko, Sylvie Shang Shi, Amir Shukayev, Sammie Bae, Aleksandra Piktus, Roman Castagné, Felipe Cruz-Salinas, Eddie Kim, Lucas Crawhall-Stein, Adrien Morisot, Sudip Roy, Phil Blunsom, Ivan Zhang, Aidan N. Gomez, Nick Frosst, Marzieh Fadaee, Beyza Ermis, Ahmet Üstün, Sara Hooker:
Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier. CoRR abs/2412.04261 (2024) - 2023
- [i2]Ted Zadouri, Ahmet Üstün, Arash Ahmadian, Beyza Ermis, Acyr Locatelli, Sara Hooker:
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning. CoRR abs/2309.05444 (2023) - 2022
- [i1]Siddhartha Rao Kamalakara, Acyr Locatelli, Bharat Venkitesh, Jimmy Ba, Yarin Gal, Aidan N. Gomez:
Exploring Low Rank Training of Deep Neural Networks. CoRR abs/2209.13569 (2022)
Coauthor Index
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