Tootfinder

CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition
Sina J. Semnani, Han Zhang, Xinyan He, Merve Tekg\"urler, Monica S. Lam
https://arxiv.org/abs/2509.19768

CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition
Accurate text recognition for historical documents can greatly advance the study and preservation of cultural heritage. Existing vision-language models (VLMs), however, are designed for modern, standardized texts and are not equipped to read the diverse languages and scripts, irregular layouts, and frequent degradation found in historical materials. This paper presents CHURRO, a 3B-parameter open-weight VLM specialized for historical text recognition. The model is trained on CHURRO-DS, the la…

'Cost-Effective Machine Learning for Automatically Processing Bibliographic Metadata' is a very readable account of using DistilBERT for specific DH tasks https://www.euppublishing.com/doi/full/10.3366/ijhac.2025.0353

Syrskyi: Russia redeploys troops from Sumy region for a new push on Zaporizhzhia: https://benborges.xyz/2025/08/19/syrskyi-russia-redeploys-troops-from.html

En FWB, on redouble trois fois plus qu'ailleurs et ça coûte cher, psychologiquement et financièrement. ⬇️
#FWB #Wallonie #Bruxelles

RadEval: A framework for radiology text evaluation
Justin Xu, Xi Zhang, Javid Abderezaei, Julie Bauml, Roger Boodoo, Fatemeh Haghighi, Ali Ganjizadeh, Eric Brattain, Dave Van Veen, Zaiqiao Meng, David Eyre, Jean-Benoit Delbrouck
https://arxiv.org/abs/2509.18030

RadEval: A framework for radiology text evaluation
We introduce RadEval, a unified, open-source framework for evaluating radiology texts. RadEval consolidates a diverse range of metrics, from classic n-gram overlap (BLEU, ROUGE) and contextual measures (BERTScore) to clinical concept-based scores (F1CheXbert, F1RadGraph, RaTEScore, SRR-BERT, TemporalEntityF1) and advanced LLM-based evaluators (GREEN). We refine and standardize implementations, extend GREEN to support multiple imaging modalities with a more lightweight model, and pretrain a doma…

Federation of Agents: A Semantics-Aware Communication Fabric for Large-Scale Agentic AI
Lorenzo Giusti, Ole Anton Werner, Riccardo Taiello, Matilde Carvalho Costa, Emre Tosun, Andrea Protani, Marc Molina, Rodrigo Lopes de Almeida, Paolo Cacace, Diogo Reis Santos, Luigi Serio
https://arxiv.org/abs/2509.20175…

Federation of Agents: A Semantics-Aware Communication Fabric for Large-Scale Agentic AI
We present Federation of Agents (FoA), a distributed orchestration framework that transforms static multi-agent coordination into dynamic, capability-driven collaboration. FoA introduces Versioned Capability Vectors (VCVs): machine-readable profiles that make agent capabilities searchable through semantic embeddings, enabling agents to advertise their capabilities, cost, and limitations. Our aarchitecturecombines three key innovations: (1) semantic routing that matches tasks to agents over shar…

"The web was supposed to evolve into semantically structured, linked, machine-readable data that would enable amazing opportunities. That never happened. (...) We also never achieved truly personal computing. Computers could've been personal knowledge bases, with structured semantic connections akin to HyperCard, that take advantage of the semantic web and open standards. (...) AI is not a triumph of elegant design, but a brute-force workaround."

Russia redeploys troops for new push in Zaporizhzhia Oblast, Ukraine's army chief says: https://benborges.xyz/2025/08/18/russia-redeploys-troops-for-new.html

Russia redeploys air defense ssytems from Mariupol toward Rostov to protect refineries from Ukrainian drones: https://benborges.xyz/2025/09/19/russia-redeploys-air-defense-ssytems.html