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MixSumm: Topic-based Data Augmentation using LLMs for Low-resource Extractive Text Summarization
MixSumm: Topic-based Data Augmentation using LLMs for Low-resource Extractive Text Summarization
Low-resource extractive text summarization is a vital but heavily underexplored area of research. Prior literature either focuses on …
ArXiv,  2024.
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NNetscape Navigator: Complex Demonstrations for Web Agents Without a Demonstrator
NNetscape Navigator: Complex Demonstrations for Web Agents Without a Demonstrator
We introduce NNetscape Navigator (NNetnav), a method for training web agents entirely through synthetic demonstrations. These …
ArXiv,  2024.
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Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy
Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy
Ultrasound Localization Microscopy (ULM) is a non-invasive technique that allows for the imaging of micro-vessels in vivo, at depth and …
ArXiv,  2024.
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StarCoder 2 and The Stack v2: The Next Generation
StarCoder 2 and The Stack v2: The Next Generation
The BigCode project, an open-scientific collaboration focused on the responsible development of Large Language Models for Code (Code …
Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Terry Yue Zhuo, Nii Osae Osae Dade, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Edoardo Abati, Yekun Chai, Xiangru Tang, Christopher Akiki, Chenghao Mou, Binyuan Hui, Nicolas Patry, Canwen Xu, Julian McAuley, Han Hu, Torsten Scholak, Sébastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, Mostofa Patwary, Nima Tajbakhsh, Yacine Jernite, Carlos Muñoz Ferrandis, Lingming Zhang, Sean Hughes, Thomas Wolf , Arjun Guha, Leandro von Werra, Harm de Vries, Alex Gu, Armel Zebaze, Evgenii Zheltonozhskii, Jian Zhu, Manan Dey, Marc Marone, Mayank Mishra, Muhtasham Oblokulov, Olivier Dehaene, Qian Liu, Tri Dao, Wenhao Yu, Niklas Muennighoff
ArXiv,  2024.
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StarVector: Generating Scalable Vector Graphics Code from Images and Text
StarVector: Generating Scalable Vector Graphics Code from Images and Text
Scalable Vector Graphics (SVGs) have become integral in modern image rendering and graphic design applications due to their infinite …
ArXiv,  2024.
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TapeAgents: a Holistic Framework for Agent Development and Optimization
TapeAgents: a Holistic Framework for Agent Development and Optimization
We present TapeAgents, an agent framework that leverages a structured, replayable log (tape) of the agent session to facilitate all …
ArXiv,  2024.
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The BigCode Project Governance Card
The BigCode Project Governance Card
This document serves as an overview of the different mechanisms and areas of governance in the BigCode project. It aims to support …
ArXiv,  2024.
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RepoFusion: Training Code Models to Understand Your Repository
RepoFusion: Training Code Models to Understand Your Repository
Despite the huge success of Large Language Models (LLMs) in coding assistants like GitHub Copilot, these models struggle to understand …
ArXiv,  2023.
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Hierarchical Residual Attention Network for Single Image Super-Resolution
Hierarchical Residual Attention Network for Single Image Super-Resolution
Convolutional neural networks are the most successful models in single image super-resolution. Deeper networks, residual connections, …
ArXiv,  2020.
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On the Information Complexity of Proper Learners for VC Classes in the Realizable Case
We provide a negative resolution to a conjecture of Steinke and Zakynthinou (2020a), by showing that their bound on the conditional …
ArXiv,  2020.
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