LLMs/MLMs之Qwen-3：Qwen3的简介、安装和使用方法、案例应用之详细攻略

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MLLM之Bench：LEGO-Puzzles的简介、安装和使用方法、案例应用之详细攻略

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LLMs之DeepSeek-R1：基于TinyZero项目(Huggingface TRL框架+Countdown-Tasks数据集+Qwen-2.5-3B模型)复现DeepSeek R1 Zero模

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LLMs之Agent之RL：RAGEN的简介、安装和使用方法、案例应用之详细攻略

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LLM之LRMs：《Revisiting Prompt Optimization with Large Reasoning Models-A Case Study on Event Extractio

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MLMs之OpenAI o系列：OpenAI o3/o4-mini的简介、安装和使用方法、案例应用之详细攻略

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LLMs之RAG：《RAG Agents in Production: 10 Lessons We Learned》翻译与解读

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LLMs之Agent之A2A：A2A的简介、安装和使用方法、案例应用之详细攻略

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LLMs之Agent之A2A：《Announcing the Agent2Agent Protocol (A2A)》翻译与解读

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MLMs之Benchmark：《InterFeedback: Unveiling Interactive Intelligence of Large Multimodal Models via Hum

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LLMs之KGRAG：《MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning

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LLMs之Agent：《OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning》翻译与解读

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LLMs之RL之CoT：《Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation》翻译与解

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LLMs之RL之CPPO：《CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning

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MLMs之MoE之Chart：《ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding》翻译与解

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LLMs之RL之TAO：《TAO: Using test-time compute to train efficient LLMs without labeled data》翻译与解读

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LLMs之PE：《Tracing the thoughts of a large language model》翻译与解读

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LLMs之Agent：AI-Researcher的简介、安装和使用方法、案例应用之详细攻略

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LLMs之DeepSeek-V3：DeepSeek-V3-0324的简介、安装和使用方法、案例应用之详细攻略

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LLMs之CoTM：《Detecting misbehavior in frontier reasoning models》翻译与解读

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