The Non-Optimality of Scientific Knowledge: Path Dependence, Lock-In, and The Local Minimum Trap
arXiv:2604.11828v2 Announce Type: new Abstract: Science is widely regarded as humanity’s most reliable method for uncovering truths about the natural…
Physics-Informed State Space Models for Reliable Solar Irradiance Forecasting in Off-Grid Systems
arXiv:2604.11807v2 Announce Type: replace-cross Abstract: The stable operation of off-grid photovoltaic systems requires accurate, computationally efficient solar forecasting. Contemporary deep…
PromptEcho: Annotation-Free Reward from Vision-Language Models for Text-to-Image Reinforcement Learning
arXiv:2604.12652v1 Announce Type: cross Abstract: Reinforcement learning (RL) can improve the prompt following capability of text-to-image (T2I) models, yet obtaining…
Learning Chain Of Thoughts Prompts for Predicting Entities, Relations, and even Literals on Knowledge Graphs
arXiv:2604.12651v1 Announce Type: cross Abstract: Knowledge graph embedding (KGE) models perform well on link prediction but struggle with unseen entities,…
Towards Autonomous Mechanistic Reasoning in Virtual Cells
arXiv:2604.11661v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have recently gained significant attention as a promising approach to accelerate…
LABBench2: An Improved Benchmark for AI Systems Performing Biology Research
arXiv:2604.09554v1 Announce Type: new Abstract: Optimism for accelerating scientific discovery with AI continues to grow. Current applications of AI in…
