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AI Agents · Feb 7, 2025
Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research
A tool-using agent framework that extends LLM reasoning with web search, coding, and structured reasoning memory for deep research tasks.
Why it matters: It connects reasoning models to external computation and information retrieval, a core pattern for modern research agents.
Junde Wu, Jiayuan Zhu, Yuyuan Liu
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Agentic Reasoning
A tool-using agent framework that extends LLM reasoning with web search, coding, and structured reasoning memory for deep research tasks.
Useful for understanding how deep-research agents combine model reasoning with tools and structured intermediate state.
Junde Wu, Jiayuan Zhu, Yuyuan Liu · Feb 7, 2025
PaperQA
A retrieval-augmented research agent that searches scientific literature, evaluates source relevance, and synthesizes evidence-backed answers.
Strong foundation for building research RAG systems with retrieval, source assessment, and synthesis.
Jakub Lála, Odhran O'Donoghue, Aleksandar Shtedritski · Dec 8, 2023
RAG Survey
A systematic survey organizing RAG architectures, training strategies, applications, evaluation, and open challenges.
Best used as a map of the RAG design space before diving into individual retrieval and generation papers.
Yunfan Gao, Yun Xiong, Xinyu Gao · Dec 18, 2023
Generative Agents
An agent architecture combining memory, retrieval, reflection, and planning to simulate believable long-horizon behavior.
Useful for understanding why long-running agents need memory beyond the immediate context window.
Joon Sung Park, Joseph C. O'Brien, Carrie J. Cai · Apr 7, 2023
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MIRA
MIRA is an autonomous medical agent evaluated in a sandboxed EHR workflow with tools for diagnosis, testing, treatment, and admission decisions.
Relevant to enterprise agent design because the system combines an LLM, many tools, structured APIs, safety evaluation, and workflow state.
Dyke Ferber, Lars Hilgers, Christiane Höper · Jun 17, 2026
Agentic Reasoning
A tool-using agent framework that extends LLM reasoning with web search, coding, and structured reasoning memory for deep research tasks.
Useful for understanding how deep-research agents combine model reasoning with tools and structured intermediate state.
Junde Wu, Jiayuan Zhu, Yuyuan Liu · Feb 7, 2025
RAG Survey
A systematic survey organizing RAG architectures, training strategies, applications, evaluation, and open challenges.
Best used as a map of the RAG design space before diving into individual retrieval and generation papers.
Yunfan Gao, Yun Xiong, Xinyu Gao · Dec 18, 2023
PaperQA
A retrieval-augmented research agent that searches scientific literature, evaluates source relevance, and synthesizes evidence-backed answers.
Strong foundation for building research RAG systems with retrieval, source assessment, and synthesis.
Jakub Lála, Odhran O'Donoghue, Aleksandar Shtedritski · Dec 8, 2023
Generative Agents
An agent architecture combining memory, retrieval, reflection, and planning to simulate believable long-horizon behavior.
Useful for understanding why long-running agents need memory beyond the immediate context window.
Joon Sung Park, Joseph C. O'Brien, Carrie J. Cai · Apr 7, 2023
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