HuggingFace
AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities
As Large Language Models (LLMs) evolve into autonomous agents, the need for unified evaluation infrastructure becomes...
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HuggingFace
PalmClaw: A Native On-Device Agent Framework for Mobile Phones
Large Language Model (LLM) agents have moved beyond generating responses to executing multi-step tasks by calling too...
HuggingFace
Registers Matter for Pixel-Space Diffusion Transformers
Vision Transformers (ViTs) are known to exhibit high-norm patch-token outliers that degrade feature map quality, a pr...
HuggingFace
Blind-Spots-Bench: Evaluating Blind Spots in Multimodal Models
Modern AI models achieve strong performance on many established benchmarks, yet they still fail on tasks that humans ...
HuggingFace
Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms
Starting from the utilization of deep neural networks to approximate the state-action value function that led to winn...
HuggingFace
Towards Autonomous and Auditable Medical Imaging Model Development
Large language model (LLM) agents are beginning to automate machine learning engineering (MLE) by coupling planning, ...
HuggingFace
MuScriptor: An Open Model for Multi-Instrument Music Transcription
Existing methods for automatic music transcription are often limited to single-instrument recordings or fail on compl...
HuggingFace
Let RGB Be the Language of Vision
This work introduces a unified formulation for vision models, where diverse forms of visual information beyond natura...
HuggingFace
MonkeyOCRv2: A Visual-Text Foundation Model for Document AI
Mainstream visual encoders are pretrained on natural images and cannot be effectively applied to document images with...
HuggingFace
Search Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual Generation
Visual generators excel at rendering, but they confidently fabricate what they do not know. User requests are unbound...
HuggingFace
SynthDocBench: Controlled Benchmark for Long-Context Visual Document Understanding
Vision language models (VLMs) have achieved strong performance on visual document understanding benchmarks such as Do...
HuggingFace
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness
Large language models fine-tuned for forecasting can be accurate yet poorly calibrated, and their chain-of-thought (C...