Chain-of-Thought May Not Be a Window into AI’s Reasoning: Anthropic’s New Study Reveals Hidden Gaps
Source: MarkTechPost Chain-of-thought (CoT) prompting has become a popular method for improving and interpreting the reasoning processes of...
Omni-R1: Advancing Audio Question Answering with Text-Driven Reinforcement Learning and Auto-Generated Data
Source: MarkTechPost Recent developments have shown that RL can significantly enhance the reasoning abilities of LLMs. Building on...
The sweet taste of a new idea
Source: MIT News – Artificial intelligence Behavioral economist Sendhil Mullainathan has never forgotten the pleasure he felt the...
See, Think, Explain: The Rise of Vision Language Models in AI
Source: Unite.AI About a decade ago, artificial intelligence was split between image recognition and language understanding. Vision models...
AI’s Struggle to Read Analogue Clocks May Have Deeper Significance
Source: Unite.AI A new paper from researchers in China and Spain finds that even advanced multimodal AI models...
Reinforcement Learning Makes LLMs Search-Savvy: Ant Group Researchers Introduce SEM to Optimize Tool Usage and Reasoning Efficiency
Source: MarkTechPost Recent progress in LLMs has shown their potential in performing complex reasoning tasks and effectively using...
LLMs Struggle to Act on What They Know: Google DeepMind Researchers Use Reinforcement Learning Fine-Tuning to Bridge the Knowing-Doing Gap
Source: MarkTechPost Language models trained on vast internet-scale datasets have become prominent language understanding and generation tools. Their...
How OpenAI’s o3 and o4-mini Models Are Revolutionizing Visual Analysis and Coding
Source: Unite.AI In April 2025, OpenAI introduced its most advanced models to date, o3 and o4-mini. These models...
SWE-Bench Performance Reaches 50.8% Without Tool Use: A Case for Monolithic State-in-Context Agents
Source: MarkTechPost Recent advancements in LM agents have shown promising potential for automating intricate real-world tasks. These agents...
Google Researchers Introduce LightLab: A Diffusion-Based AI Method for Physically Plausible, Fine-Grained Light Control in Single Images
Source: MarkTechPost Manipulating lighting conditions in images post-capture is challenging. Traditional approaches rely on 3D graphics methods that...