OThink-R1: A Dual-Mode Reasoning Framework to Cut Redundant Computation in LLMs
Source: MarkTechPost The Inefficiency of Static Chain-of-Thought Reasoning in LRMs Recent LRMs achieve top performance by using detailed...
Internal Coherence Maximization (ICM): A Label-Free, Unsupervised Training Framework for LLMs
Source: MarkTechPost Post-training methods for pre-trained language models (LMs) depend on human supervision through demonstrations or preference feedback...
MemOS: A Memory-Centric Operating System for Evolving and Adaptive Large Language Models
Source: MarkTechPost LLMs are increasingly seen as key to achieving Artificial General Intelligence (AGI), but they face major...
Sakana AI Introduces Text-to-LoRA (T2L): A Hypernetwork that Generates Task-Specific LLM Adapters (LoRAs) based on a Text Description of the Task
Source: MarkTechPost Transformer models have significantly influenced how AI systems approach tasks in natural language understanding, translation, and...
Highlighted at CVPR 2025: Google DeepMind’s ‘Motion Prompting’ Paper Unlocks Granular Video Control
Source: MarkTechPost Key Takeaways: Researchers from Google DeepMind, the University of Michigan & Brown university have developed “Motion...
OpenThoughts: A Scalable Supervised Fine-Tuning SFT Data Curation Pipeline for Reasoning Models
Source: MarkTechPost The Growing Complexity of Reasoning Data Curation Recent reasoning models, such as DeepSeek-R1 and o3, have...
Apple Researchers Reveal Structural Failures in Large Reasoning Models Using Puzzle-Based Evaluation
Source: MarkTechPost Artificial intelligence has undergone a significant transition from basic language models to advanced models that focus...
This AI Paper Introduces VLM-R³: A Multimodal Framework for Region Recognition, Reasoning, and Refinement in Visual-Linguistic Tasks
Source: MarkTechPost Multimodal reasoning ability helps machines perform tasks such as solving math problems embedded in diagrams, reading...
Meta AI Releases V-JEPA 2: Open-Source Self-Supervised World Models for Understanding, Prediction, and Planning
Source: MarkTechPost Meta AI has introduced V-JEPA 2, a scalable open-source world model designed to learn from video...
CURE: A Reinforcement Learning Framework for Co-Evolving Code and Unit Test Generation in LLMs
Source: MarkTechPost Introduction Large Language Models (LLMs) have shown substantial improvements in reasoning and precision through reinforcement learning...