Tootfinder

ChuXin: 1.6B Technical Report
Xiaomin Zhuang, Yufan Jiang, Qiaozhi He, Zhihua Wu
https://arxiv.org/abs/2405.04828 https://arxiv.org/p…

ChuXin: 1.6B Technical Report
In this report, we present ChuXin, an entirely open-source language model with a size of 1.6 billion parameters. Unlike the majority of works that only open-sourced the model weights and architecture, we have made everything needed to train a model available, including the training data, the training process, and the evaluation code. Our goal is to empower and strengthen the open research community, fostering transparency and enabling a new wave of innovation in the field of language modeling. …

Efficient Distributed Data Structures for Future Many-core Architectures
Panagiota Fatourou, Nikolaos D. Kallimanis, Eleni Kanellou, Odysseas Makridakis, Christi Symeonidou
https://arxiv.org/abs/2404.05515

Efficient Distributed Data Structures for Future Many-core Architectures
We study general techniques for implementing distributed data structures on top of future many-core architectures with non cache-coherent or partially cache-coherent memory. With the goal of contributing towards what might become, in the future, the concurrency utilities package in Java collections for such architectures, we end up with a comprehensive collection of data structures by considering different variants of these techniques. To achieve scalability, we study a generic scheme which mak…

Zugegeben, nicht das beste Foto, aber dafür dass ich das erste Mal in meinem Leben einen - ach was - ZWEI #Pirol vor die Linse bekommen habe, ist das zu vernachlässigen. Hören lässt sich der Pirol im #Grunewald oder an der

Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
Joachim Baumann, Celestine Mendler-D\"unner
https://arxiv.org/abs/2404.04269

Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
We investigate algorithmic collective action in transformer-based recommender systems. Our use case is a collective of fans aiming to promote the visibility of an artist by strategically placing one of their songs in the existing playlists they control. The success of the collective is measured by the increase in test-time recommendations of the targeted song. We introduce two easily implementable strategies towards this goal and test their efficacy on a publicly available recommender system mo…

ChuXin: 1.6B Technical Report
Xiaomin Zhuang, Yufan Jiang, Qiaozhi He, Zhihua Wu
https://arxiv.org/abs/2405.04828 https://arxiv.org/p…

ChuXin: 1.6B Technical Report
In this report, we present ChuXin, an entirely open-source language model with a size of 1.6 billion parameters. Unlike the majority of works that only open-sourced the model weights and architecture, we have made everything needed to train a model available, including the training data, the training process, and the evaluation code. Our goal is to empower and strengthen the open research community, fostering transparency and enabling a new wave of innovation in the field of language modeling. …

Improving the quality of individual-level online information tracking: challenges of existing approaches and introduction of a new content- and long-tail sensitive academic solution
Silke Adam, Mykola Makhortykh, Michaela Maier, Viktor Aigenseer, Aleksandra Urman, Teresa Gil Lopez, Clara Christner, Ernesto de Le\'on, Roberto Ulloa
https://…

Improving the quality of individual-level online information tracking: challenges of existing approaches and introduction of a new content- and long-tail sensitive academic solution
This article evaluates the quality of data collection in individual-level desktop information tracking used in the social sciences and shows that the existing approaches face sampling issues, validity issues due to the lack of content-level data and their disregard of the variety of devices and long-tail consumption patterns as well as transparency and privacy issues. To overcome some of these problems, the article introduces a new academic tracking solution, WebTrack, an open source tracking t…

A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning
Nicolas Dewolf
https://arxiv.org/abs/2405.02082

A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning
In the past decades, most work in the area of data analysis and machine learning was focused on optimizing predictive models and getting better results than what was possible with existing models. To what extent the metrics with which such improvements were measured were accurately capturing the intended goal, whether the numerical differences in the resulting values were significant, or whether uncertainty played a role in this study and if it should have been taken into account, was of second…

getting a little weepy at seeing some of these kids getting drafted into the NFL; most of them have spent the majority of their young lives towards this goal.
#NFLDraft #NFL

Zugegeben, nicht das beste Foto, aber dafür dass ich das erste Mal in meinem Leben einen - ach was - ZWEI #Pirol vor die Linse bekommen habe, ist das zu vernachlässigen. Hören lässt sich der Pirol im #Grunewald oder an der

Improving the quality of individual-level online information tracking: challenges of existing approaches and introduction of a new content- and long-tail sensitive academic solution
Silke Adam, Mykola Makhortykh, Michaela Maier, Viktor Aigenseer, Aleksandra Urman, Teresa Gil Lopez, Clara Christner, Ernesto de Le\'on, Roberto Ulloa
https://…

Improving the quality of individual-level online information tracking: challenges of existing approaches and introduction of a new content- and long-tail sensitive academic solution
This article evaluates the quality of data collection in individual-level desktop information tracking used in the social sciences and shows that the existing approaches face sampling issues, validity issues due to the lack of content-level data and their disregard of the variety of devices and long-tail consumption patterns as well as transparency and privacy issues. To overcome some of these problems, the article introduces a new academic tracking solution, WebTrack, an open source tracking t…