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JYao-Chen/README.md
Jingyao Chen — Language Models, Agents, and Scientific Knowledge Services

Website  ·  Writing  ·  Visual archive  ·  Reading

Jingyao Chen · PhD Student in Information Science

Large Language Models · Multi-Agent Systems · AI for Scientific Knowledge Services


I am interested in a quieter question than making models answer faster: how can they collaborate, retrieve, and reason more reliably inside complex knowledge environments?

Research signals

01 / MODEL

Language models
Connecting model capabilities with specialist knowledge environments.
02 / AGENT

Multi-agent systems
Coordination, division of work, and controllable orchestration for complex research tasks.
03 / SERVICE

Knowledge services
Bringing retrieval, evidence, and reasoning closer to real research practice.

Beyond the lab

History, literature, and traditional culture form another long thread. I read poetry, allusions, and intellectual history for the worlds they disclose; I also learn through museums, architecture, historical sites, and city walks—where documents, artifacts, and everyday life meet.

On the shelf
Classical literature · history · cultural texts
In the field
Museums · galleries · historical sites · urban space

中文版本 / Switch to Chinese

陈靖耀 · 情报学博士研究生

我关注大语言模型、多智能体,以及人工智能如何参与科学知识服务。

比起让模型更快地产出答案,我更关心它们如何在复杂的知识环境中,提供更可靠的协作、检索与判断。

01 / MODEL

大语言模型
让模型能力与专业知识环境建立可靠连接。
02 / AGENT

多智能体
探索复杂研究任务中的分工、协同与可控编排。
03 / SERVICE

科学知识服务
让检索、证据与推理更贴近真实研究过程。

历史、文学与传统文化是另一条长线。常从诗词、典故和思想史中辨认时代的纹理;也喜欢在博物馆、美术馆、古迹与城市的行走中,把文献、器物、建筑和日常重新连起来。

个人网站  ·  文章  ·  影像  ·  阅读


Research notes · tools · texts · field observations

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  1. TallyBear TallyBear Public

    AI-powered personal & family finance: receipt recognition, reconciliation, conversational insights, and an optional bear theme.

    TypeScript 2