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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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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
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