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Samuel Weinbach
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2020 – today
- 2024
- [c5]Björn Deiseroth, Manuel Brack, Patrick Schramowski, Kristian Kersting, Samuel Weinbach:
T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings. EMNLP 2024: 21829-21851 - [c4]Mehdi Ali, Michael Fromm, Klaudia Thellmann, Richard Rutmann, Max Lübbering, Johannes Leveling, Katrin Klug, Jan Ebert, Niclas Doll, Jasper Schulze Buschhoff, Charvi Jain, Alexander Arno Weber, Lena Jurkschat, Hammam Abdelwahab, Chelsea John, Pedro Ortiz Suarez, Malte Ostendorff, Samuel Weinbach, Rafet Sifa, Stefan Kesselheim, Nicolas Flores-Herr:
Tokenizer Choice For LLM Training: Negligible or Crucial? NAACL-HLT (Findings) 2024: 3907-3924 - [i11]Björn Deiseroth, Manuel Brack, Patrick Schramowski, Kristian Kersting, Samuel Weinbach:
T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings. CoRR abs/2406.19223 (2024) - [i10]Charlie Blake, Constantin Eichenberg, Josef Dean, Lukas Balles, Luke Y. Prince, Björn Deiseroth, Andrés Felipe Cruz-Salinas, Carlo Luschi, Samuel Weinbach, Douglas Orr:
u-μP: The Unit-Scaled Maximal Update Parametrization. CoRR abs/2407.17465 (2024) - [i9]Mehdi Ali, Michael Fromm, Klaudia Thellmann, Jan Ebert, Alexander Arno Weber, Richard Rutmann, Charvi Jain, Max Lübbering, Daniel Steinigen, Johannes Leveling, Katrin Klug, Jasper Schulze Buschhoff, Lena Jurkschat, Hammam Abdelwahab, Benny Jörg Stein, Karl-Heinz Sylla, Pavel Denisov, Nicolo' Brandizzi, Qasid Saleem, Anirban Bhowmick, Lennard Helmer, Chelsea Maria John, Pedro Ortiz Suarez, Malte Ostendorff, Alex Jude, Lalith Manjunath, Samuel Weinbach, Carolin Penke, Oleg Filatov, Shima Asaadi, Fabio Barth, Rafet Sifa, Fabian Küch, Andreas Herten, René Jäkel, Georg Rehm, Stefan Kesselheim, Joachim Köhler, Nicolas Flores-Herr:
Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs. CoRR abs/2410.03730 (2024) - 2023
- [c3]Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andrés Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, Samuel Weinbach:
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation. NeurIPS 2023 - [c2]Björn Deiseroth, Mayukh Deb, Samuel Weinbach, Manuel Brack, Patrick Schramowski, Kristian Kersting:
ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation. NeurIPS 2023 - [i8]Mayukh Deb, Björn Deiseroth, Samuel Weinbach, Patrick Schramowski, Kristian Kersting:
AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation. CoRR abs/2301.08110 (2023) - [i7]Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth, Constantin Eichenberg, Andrew Dai
, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andrés Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, Samuel Weinbach:
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation. CoRR abs/2305.15296 (2023) - [i6]Mehdi Ali, Michael Fromm, Klaudia Thellmann, Richard Rutmann, Max Lübbering, Johannes Leveling, Katrin Klug, Jan Ebert, Niclas Doll, Jasper Schulze Buschhoff, Charvi Jain, Alexander Arno Weber, Lena Jurkschat, Hammam Abdelwahab, Chelsea John, Pedro Ortiz Suarez, Malte Ostendorff, Samuel Weinbach, Rafet Sifa, Stefan Kesselheim, Nicolas Flores-Herr:
Tokenizer Choice For LLM Training: Negligible or Crucial? CoRR abs/2310.08754 (2023) - [i5]Johannes Hagemann
Efficient Parallelization Layouts for Large-Scale Distributed Model Training. CoRR abs/2311.05610 (2023) - 2022
- [c1]Constantin Eichenberg, Sidney Black, Samuel Weinbach, Letitia Parcalabescu
MAGMA - Multimodal Augmentation of Generative Models through Adapter-based Finetuning. EMNLP (Findings) 2022: 2416-2428 - [i4]Sid Black, Stella Biderman, Eric Hallahan, Quentin Anthony, Leo Gao, Laurence Golding, Horace He, Connor Leahy, Kyle McDonell, Jason Phang, Michael Pieler, USVSN Sai Prashanth, Shivanshu Purohit, Laria Reynolds, Jonathan Tow, Ben Wang, Samuel Weinbach:
GPT-NeoX-20B: An Open-Source Autoregressive Language Model. CoRR abs/2204.06745 (2022) - [i3]Samuel Weinbach, Marco Bellagente, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Björn Deiseroth, Koen Oostermeijer, Hannah Teufel, Andrés Felipe Cruz-Salinas:
M-VADER: A Model for Diffusion with Multimodal Context. CoRR abs/2212.02936 (2022) - 2021
- [i2]Constantin Eichenberg, Sidney Black, Samuel Weinbach, Letitia Parcalabescu, Anette Frank:
MAGMA - Multimodal Augmentation of Generative Models through Adapter-based Finetuning. CoRR abs/2112.05253 (2021) - 2020
- [i1]Jonas Andrulis, Ole Meyer, Grégory Schott, Samuel Weinbach, Volker Gruhn:
Domain-Level Explainability - A Challenge for Creating Trust in Superhuman AI Strategies. CoRR abs/2011.06665 (2020)
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