Automated multi-variable control design from dynamic process models using LLMs.

A framework for attribution-guided repair and knowledge reuse in structured agent skills.

An autoregressive zero-shot text-to-speech model accelerated for production deployment on GPUs.

A case study in workflow-driven lean autoformalization for mathematics using LLM agents.

Meta planning framework for data, tuning, and inference for extractive-based LLMs.

A library that re-implements Xlib atop SDL to allow X11 clients to run on modern platforms.

A framework for incorporating AI-generated outputs as features for estimating human-labeled outcomes.

Developer platform offering an AI model router for generative media.

macOS menu-bar manager for SSH port forwards

A label-free self-evolution framework for improving fine-grained auditory perception in Large Audio Language Models.

An efficient low-rank and sparse attention approximation for training Transformers with longer contexts.

A balance-oriented framework for personalized video game recommendations using LLMs and GNNs.

Research on improving Small Language Model performance on vision-based educational assessments.

A Governance-Integrated Risk and Assurance Framework for real-time risk indexing in 6G systems.

A post-hoc framework for discovering concentrated false-confidence regions in ML models.

Research exploring vulnerabilities in the alignment layers of graph foundation models.

Research on reducing peak current in mobile NPU inference via graph rewriting

Research on risk signals in model-based RL and the RLxF programme

A marketplace for buying and selling GPU capacity by the week.

Signal-based Model Access Risk Taxonomy for AI system operations security.