🔬 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
Technical Methods
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
Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles
🔬 Research Summary by Zhaobo Zheng, a scientist at Honda Research Institute USA, Inc. [Original paper by Minxue Niu, Zhaobo Zheng, Kumar Akash, and Teruhisa Misu] Overview: The trust in autonomous driving is … [Read more...] about Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles
A collection of principles for guiding and evaluating large language models
🔬 Research Summary by Matthias Samwald, an associate professor at the Medical University of Vienna and works on making powerful AI systems driving biomedical progress more trustworthy. [Original paper by … [Read more...] about A collection of principles for guiding and evaluating large language models