🔬 Research Summary by Caner Hazirbas, Research Scientist at Meta and Ph.D. graduate in Computer Vision from the Technical University of Munich. [Original paper by Caner Hazirbas, Alicia Sun, Yonathan Efroni, Mark … [Read more...] about The Bias of Harmful Label Associations in Vision-Language Models
Technical Methods
Self-Improving Diffusion Models with Synthetic Data
🔬 Research Summary by Sina Alemohammad, a PhD candidate at Rice University with a focus on the interaction between generative models and synthetic data. [Original paper by Sina Alemohammad, Ahmed Imtiaz Humayun, … [Read more...] about Self-Improving Diffusion Models with Synthetic Data
Responsible Generative AI: A Reference Architecture for Designing Foundation Model-based Agents
🔬 Research Summary by Dr. Qinghua Lu, the team leader of the Responsible AI science team at CSIRO's Data61 and is the winner of the 2023 APAC Women in AI Trailblazer Award. [Original paper by Qinghua Lu, Liming … [Read more...] about Responsible Generative AI: A Reference Architecture for Designing Foundation Model-based Agents
Language Models: A Guide for the Perplexed
🔬 Research Summary by Sofia Serrano, a Ph.D. candidate in computer science at the University of Washington (and will be an Assistant Professor at Lafayette College starting in Autumn 2024), specifically focusing on the … [Read more...] about Language Models: A Guide for the Perplexed
LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games
🔬 Research Summary by Sahar Abdelnabi, a Ph.D. student at CISPA Helmholtz Center for Information Security, Germany. Her research interests lie in the intersection of machine learning, security, and … [Read more...] about LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games