Skip to content

Author

Y. Matias

We have 5 of 118 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Jun 2026

Towards conversational artificial intelligence for disease management

Although large language models have shown promise in diagnostic dialogue1, their capabilities for effective management reasoning, including disease progression, therapeutic response and safe medication prescription, have remained underexplored. We have advanced the previously demonstrated diagnostic capabilities of the...

Valentin Liévin, Anil Palepu, Wei-Hung Weng et al. · 11 citations · ⚡1
#artificial intelligence Preprint Aug 2026

Planetary Prediction Engine: Autonomous Geospatial Prediction via Intelligent Data Selection and Foundation Model Embeddings

By combining autonomous multimodal planetary data discovery with targeted model optimization, PPE lowers the technical barrier to planetary-scale analytics, enabling rapid, customized, expert-level deployment.

Evelyn Ma, Rama Kumar Pasumarthi, Kishwar Shafin et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Verifiable Social Reasoning for LLM Assistants

This work introduces Fuse, a multi-agent simulation framework for studying user-mediated social reasoning, and applies Fuse to 12 LLMs and demonstrates its analytical utility by systematically isolating key factors.

Amir Taubenfeld, Zorik Gekhman, Avigail Grinstein-Dabush et al. · 1 citation
#human-computer interacti... Preprint Sep 2026

Towards Scalable Measurement of Durable Skills

Durable skills, such as collaboration, creativity and critical thinking, are instrumental to success in the modern workforce. Yet, measuring these skills remains a persistent challenge. Moreover, because what is not measured is often not taught, these skills are often overlooked in mainstream educational curricula. Des...

Amir Globerson, A. Keeling, Anisha Choudhury et al. · 0 citations
Review Jun 2026

Towards Automating Scientific Review with Google's Paper Assistant Tool

The Paper Assistant Tool is introduced, an agentic AI framework built for deep scientific review and verification and able to identify deeper issues than a single model call alone, achieving a 34% improvement over zero-shot recall on mathematical errors in the SPOT benchmark.

Rajesh Jayaram, Drew Tyler, David P. Woodruff et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.