Top 10 Reinforcement Learning Post-Training Research Trends 2025: From GLM-4.5 to RLUF
In-depth analysis of 10 key research papers in reinforcement learning post-training since April 2025, providing practical insights for real-world applications
Research
Chain of Agents: Large Language Model Collaboration for Long-Context Tasks
Google and Penn State University jointly developed the Chain-of-Agents framework, presenting an innovative approach to solving long-context processing proble...
ARPO: Revolutionary Reinforcement Learning Algorithm Analysis for Multi-Turn LLM Agents
Chinese research team developed ARPO, a novel reinforcement learning algorithm that dramatically improves multi-turn LLM agent performance by leveraging entr...
Kimi K2 Technical Report In-Depth Analysis: 1 Trillion Parameter MoE Architecture for Agentic Intelligence
Comprehensive analysis of MoonshotAI’s Kimi K2 technical report examining MuonClip optimizer, large-scale synthetic data pipeline, and core innovations in ne...
OmniGen2: Next-Generation Multimodal Generation Model Complete Analysis
Comprehensive analysis of OmniGen2, the open-source unified multimodal model that surpasses GPT-4o with revolutionary in-context generation and instruction-g...
Complete Analysis of Moonshot AI Kimi-Researcher: A New Paradigm in End-to-End Agentic Reinforcement Learning
In-depth analysis of Moonshot AI’s Kimi-Researcher, which achieved 26.9% HLE performance through innovative End-to-End agentic reinforcement learning approac...
AI Agents in the Labor Market: Stanford’s WORKBank Study on Human-AI Collaboration
Stanford researchers conducted a large-scale study with 1,500 workers and 52 AI experts to analyze labor market changes and human-AI collaboration realities ...
Chinese Scientists First Confirm AI Can Spontaneously Form Human-Level Cognitive Abilities
Chinese Academy of Sciences research team published in Nature Machine Intelligence that multimodal large language models can spontaneously form object concep...
Google DeepMind CEO’s Vision for AGI’s Future: The Era of ‘Radical Abundance’ Is Coming
Nobel Prize winner and Google DeepMind CEO Demis Hassabis reveals stunning vision for AGI achievement timeline and humanity’s future in WIRED interview
Manus AI System Analysis: Innovation in Agent Loop and Modular Architecture
A comprehensive analysis of Manus AI’s unique agent loop mechanism and modular architecture that enables complex task execution beyond simple question-answer...