Papersby GlyphHugging Face research papers
A company publishing mostly on agents and evaluation, best known here for BLOOM.10 papers · 4,628 citations · latest Nov 2026
RoboColosseum: Evaluating Physical Intelligence at Scale In-The-WildRoboColosseum is an evaluation framework that tests robot AI models across different environments and physical setups.
Hugging Face50 upvotesRead →What masking geometry works best for EEG foundation models?Spatio-temporal masking strategies for EEG foundation models were systematically compared across MAE and JEPA frameworks, revealing robust performance across configurations and a novel JEPA failure mode, with optimal masking achieving high downstream accuracy at reduced compute.Hugging Face3 upvotesRead →Can We Defend Against AI-Generated Video Attacks on Real-World Crisis Events? A Systematic Evaluation of Detectors, Generators and Social DisseminationA new benchmark for AI-generated video detection reveals that current detectors fail to generalize across realistic crisis-related videos and become less reliable as content spreads socially.Hugging Face1 citations285 upvotesRead →Seeing the Needle in the Haystack: Towards Weakly-Supervised Log Instance Anomaly Localization via Counterfactual PerturbationLogMILP is a weakly supervised framework for log anomaly detection that enables both bag-level detection and instance-level localization using prototype-guided structural modeling with counterfactual perturbation consistency regularization.Hugging Face4 upvotesRead →Qualixar OS: A Universal Operating System for AI Agent OrchestrationQualixar OS enables universal AI agent orchestration through a comprehensive runtime environment supporting diverse LLM providers, agent frameworks, and communication protocols, featuring advanced multi-agent topologies, adaptive routing, and robust validation mechanisms.Hugging Face20 upvotesRead →FineVision: Open Data Is All You NeedFineVision, a large-scale and curated dataset, enhances vision-language models through rigorous data collection, de-duplication, and human oversight, leading to improved performance.Hugging Face53 citations81 upvotesRead →SmolVLM: Redefining small and efficient multimodal modelsSmolVLM, a series of compact multimodal models, achieves high performance with minimal GPU memory usage, making efficient deployment on mobile and edge devices possible.Hugging Face330 citations212 upvotesRead →BLOOM: A 176B-Parameter Open-Access Multilingual Language ModelBLOOM, a 176B-parameter open-access language model, achieves competitive performance on various benchmarks and is released publicly with a Responsible AI License.Hugging Face3,165 citations41 upvotesRead →Datasets: A Community Library for Natural Language ProcessingDatasets is a community library for NLP that standardizes interfaces, versioning, and documentation for over 650 datasets with contributions from more than 250 individuals.Hugging Face828 citations16 upvotesRead →HuggingFace's Transformers: State-of-the-art Natural Language ProcessingTransformers library provides state-of-the-art Transformer architectures and pretrained models for natural language processing tasks with a unified API and emphasis on extensibility and robust deployment.Hugging Face251 citations34 upvotesRead →