AI
FLOPs vs Real Work: The Importance of Replication in AI Efficiency Assessment
Researchers have replicated an earlier study on AI efficiency assessment using Floating Point Operat...
AI
Large Language Models Show Metacognitive Sensitivity in Medical Reasoning
Researchers developed a controlled test to evaluate the performance of large language models (LLMs) ...
AI
The Unwritten Benchmark: A New Challenge for Multimodal Machine Learning in Abstract Perceptual Reasoning
Researchers have introduced a new challenge called The Unwritten Benchmark to test multimodal machin...
AI
When to Communicate: Belief Distributions and KL Divergence for Principled Gating in Multi-Agent RL
Researchers propose a new approach to communication in multi-agent reinforcement learning. Instead o...
AI
Global AI Regulations for FAIR and Ethics in High-Risk Use Cases: A Comparative Review
A comparative review of global AI regulations for fairness and ethics in high-ri...
AI
Position: AI Lock-In Is in Progress, and We Must Be Prepared
AI safety researchers argue that the field has focused too much on technical ali...
AI
Position: Evaluations of AI Moral Reasoning Still Miss Half of the Picture
Researchers argue that current methods for evaluating AI moral reasoning are inc...
AI
From Doyle to AGM: A Survey and an Implementation Roadmap for Belief Change
The authors provide a comprehensive review of the history and development of com...