Tootfinder

@… ちょっと気になったので調べてみました。
イギリスのNewsmast Foundationという団体が、特定の分野のハッシュタグつき投稿をコミュニティーフィードとして収集・ブーストしているとこのことで、musicもその一つのようです。
投稿の収集はFediBuzzというリレーを使っていて、そのFediBuzzがFedibird Relay Serviceに接続して情報を取得しています。
Fedibird Relay ServiceはFedibirdで設置しているリレーサービ…

NoLBERT: A No Lookahead(back) Foundational Language Model for Empirical Research
Ali Kakhbod, Peiyao Li
https://arxiv.org/abs/2509.01110 https://arxiv.org/…

NoLBERT: A No Lookahead(back) Foundational Language Model for Empirical Research
We present NoLBERT, a lightweight, timestamped foundational language model for empirical research in social sciences, particularly in economics and finance. By pre-training exclusively on 1976-1995 text, NoLBERT avoids both lookback and lookahead biases that can undermine econometric inference. It exceeds domain-specific baselines on NLP benchmarks while maintaining temporal consistency. Applied to patent texts, NoLBERT enables the construction of firm-level innovation networks and shows that g…

Patent Language Model Pretraining with ModernBERT
Amirhossein Yousefiramandi, Ciaran Cooney
https://arxiv.org/abs/2509.14926 https://arxiv.org/pdf/2509.149…

Patent Language Model Pretraining with ModernBERT
Transformer-based language models such as BERT have become foundational in NLP, yet their performance degrades in specialized domains like patents, which contain long, technical, and legally structured text. Prior approaches to patent NLP have primarily relied on fine-tuning general-purpose models or domain-adapted variants pretrained with limited data. In this work, we pretrain 3 domain-specific masked language models for patents, using the ModernBERT architecture and a curated corpus of over …

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