Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
The Non-Optimality of Scientific Knowledge: Path Dependence, Lock-In, and The Local Minimum Trap
arXiv:2604.11828v1 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…
Many-Tier Instruction Hierarchy in LLM Agents
arXiv:2604.09443v2 Announce Type: replace-cross Abstract: Large language model agents receive instructions from many sources-system messages, user prompts, tool outputs, other…
Advancing Polish Language Modeling through Tokenizer Optimization in the Bielik v3 7B and 11B Series
arXiv:2604.10799v1 Announce Type: cross Abstract: The development of the Bielik v3 PL series, encompassing both the 7B and 11B parameter…
TInR: Exploring Tool-Internalized Reasoning in Large Language Models
arXiv:2604.10788v1 Announce Type: cross Abstract: Tool-Integrated Reasoning (TIR) has emerged as a promising direction by extending Large Language Models’ (LLMs)…
Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition
arXiv:2604.09121v2 Announce Type: replace-cross Abstract: Recent years have witnessed remarkable progress in automatic speech recognition (ASR), driven by advances in…
