Research at Xylar Labs
Advancing the frontiers of AI through rigorous scientific research and responsible innovation.
View all publicationsOur Research Areas
AI Alignment
Ensuring AI systems act in accordance with human values and intentions.
AI Safety
Developing techniques to make AI systems robust, secure, and safe from misuse.
Language Models
Advancing the capabilities and understanding of large language models.
Multimodal Learning
Creating AI systems that can understand and generate across different modalities.
Reinforcement Learning
Improving how AI systems learn from feedback and interaction.
AI Governance
Developing frameworks for the responsible development and deployment of AI.
Featured Publications
Scaling Laws for Transformer Language Models with Sparsity
A. Chen, S. Rodriguez, M. Johnson
NeurIPS 2025
We investigate how the performance of transformer language models scales with model size, dataset size, and compute budget when incorporating sparse attention mechanisms.
Evaluating and Mitigating Bias in Multimodal AI Systems
A. Patel, D. Kim, O. Wang
ACL 2025
We present a comprehensive framework for identifying, measuring, and mitigating various forms of bias in systems that combine language and vision capabilities.
Towards Robust Alignment: A New Approach to AI Safety
M. Johnson, D. Kim, A. Chen
ICLR 2025
We introduce a novel methodology for aligning AI systems with human values that remains robust under distribution shifts and adversarial conditions.
Our Research Team
The Xylar Labs research team brings together experts from diverse backgrounds including machine learning, neuroscience, linguistics, philosophy, and computer science.
Our researchers are committed to advancing the field of AI through rigorous scientific inquiry and open collaboration with the broader research community.
We believe that the most challenging problems in AI require interdisciplinary approaches and diverse perspectives.
Meet our research teamOur Research Principles
Scientific Rigor
We hold our research to the highest standards of scientific excellence and integrity.
Openness
We believe in sharing our research findings with the broader scientific community.
Responsibility
We carefully consider the ethical implications and potential impacts of our research.
Collaboration
We actively seek partnerships with other researchers and institutions to advance the field.
Join Our Research Team
We're always looking for talented researchers to join us in our mission to advance AI for the benefit of humanity.