American Sign Language morphology examines how signs are created and modified to convey meaning, much like word formation in spoken languages. Using free and bound morphemes along with processes such ...

. ├── baseline/ # LLM-based baseline classification │ ├── classifier.py # Gemini API wrapper for classification │ ├── data_loader.py # BBC News dataset loader & sampling │ ├── database.py # Redis ...

I've been investigating some unexpected routing behavior in my E2E tests and wanted to share my findings. I'm not entirely sure if this is a configuration issue on my end or a potential bug, but the ...

ABSTRACT: This paper focuses on the role of classifiers in numeral phrases. Based on a generative syntactic framework, the study examines the functional projections involved in nominal structure. It ...

ABSTRACT: This paper focuses on the role of classifiers in numeral phrases. Based on a generative syntactic framework, the study examines the functional projections involved in nominal structure. It ...

We've reached an inflection point at which AI systems possess capabilities that demand sophisticated containment strategies; but what does this mean for lawyers who want to use these tools safely?

Anthropic’s AI Safety Level 3 protections add a filter and limited outbound traffic to prevent anyone from stealing the entire model weights. Anthropic has implemented tighter security measures around ...

In autonomous robot navigation, terrain cost assignment is typically performed using a semantics-based paradigm in which terrain is first labeled using a pre-trained semantic classifier and costs are ...

Luisa Mao, Garrett Warnell, Peter Stone, and Joydeep Biswas. PACER: Preference-conditioned All-terrain Costmap Generation. Robotics and Automation Letters, 2025. @Article{mao_PACER_RAL2025, author = ...

Deep learning models have been shown to be vulnerable to adversarial attacks, in which perturbations to their inputs cause the model to produce incorrect predictions. As opposed to adversarial attacks ...