Enigmata’s Multi-Stage and Mix-Training Reinforcement Learning Recipe Drives Breakthrough Performance in LLM Puzzle Reasoning
Source: MarkTechPost Large Reasoning Models (LRMs), trained from LLMs using reinforcement learning (RL), demonstrated great performance in complex...
BOND 2025 AI Trends Report Shows AI Ecosystem Growing Faster than Ever with Explosive User and Developer Adoption
Source: MarkTechPost BOND’s latest report on Trends – Artificial Intelligence (May 2025) presents a comprehensive data-driven snapshot of...
Meet NovelSeek: A Unified Multi-Agent Framework for Autonomous Scientific Research from Hypothesis Generation to Experimental Validation
Source: MarkTechPost Scientific research across fields like chemistry, biology, and artificial intelligence has long relied on human experts...
This AI Paper from Microsoft Introduces WINA: A Training-Free Sparse Activation Framework for Efficient Large Language Model Inference
Source: MarkTechPost Large language models (LLMs), with billions of parameters, power many AI-driven services across industries. However, their...
Meta AI Introduces Multi-SpatialMLLM: A Multi-Frame Spatial Understanding with Multi-modal Large Language Models
Source: MarkTechPost Multi-modal large language models (MLLMs) have shown great progress as versatile AI assistants capable of handling...
Qwen Researchers Proposes QwenLong-L1: A Reinforcement Learning Framework for Long-Context Reasoning in Large Language Models
Source: MarkTechPost While large reasoning models (LRMs) have shown impressive capabilities in short-context reasoning through reinforcement learning (RL),...
Researchers at UT Austin Introduce Panda: A Foundation Model for Nonlinear Dynamics Pretrained on 20,000 Chaotic ODE Discovered via Evolutionary Search
Source: MarkTechPost Chaotic systems, such as fluid dynamics or brain activity, are highly sensitive to initial conditions, making...
This AI Paper Introduces Differentiable MCMC Layers: A New AI Framework for Learning with Inexact Combinatorial Solvers in Neural Networks
Source: MarkTechPost Neural networks have long been powerful tools for handling complex data-driven tasks. Still, they often struggle...
Can LLMs Really Judge with Reasoning? Microsoft and Tsinghua Researchers Introduce Reward Reasoning Models to Dynamically Scale Test-Time Compute for Better Alignment
Source: MarkTechPost Reinforcement learning (RL) has emerged as a fundamental approach in LLM post-training, utilizing supervision signals from...
NVIDIA Releases Llama Nemotron Nano 4B: An Efficient Open Reasoning Model Optimized for Edge AI and Scientific Tasks
Source: MarkTechPost NVIDIA has released Llama Nemotron Nano 4B, an open-source reasoning model designed to deliver strong performance...