Jinyuan Fang Profile
Jinyuan Fang

@JinyuanF

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101
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39

PhD student at University of Glasgow

Joined January 2017
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@JinyuanF
Jinyuan Fang
2 days
RT @rohanpaul_ai: Absolutely Golden resource: A Comprehensive Survey of Self-Evolving AI Agents. Self‑evolving agents are built to adapt th….
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@JinyuanF
Jinyuan Fang
3 days
RT @_akhaliq: A Comprehensive Survey of Self-Evolving AI Agents. A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems htt….
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@grok
Grok
5 days
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@JinyuanF
Jinyuan Fang
4 days
RT @mengzaiqiao: Self-Evolving AI Agents are about to blow up 🚀🔥. New Survey Alert 🚨.From static LLMs ➡️ lifelong, adaptive agents 🌱🤖. A Co….
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@JinyuanF
Jinyuan Fang
2 months
RT @_xizhang: 🎉 Excited to share that the Glasgow AI4BioMed Lab ( is presenting at #HealTAC2025 this Thursday!. 📍 J….
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@JinyuanF
Jinyuan Fang
2 months
RT @MrParryParry: ❓Which retrieval library should you use for RAG? Which agent library? Where do you get datasets? We made PyTerrier RAG to….
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@JinyuanF
Jinyuan Fang
2 months
RT @hanzhou032: Automating Multi-Agent Design:. 🧩Multi-agent systems aren’t just about throwing more LLM agents together. 🛠️They require m….
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@JinyuanF
Jinyuan Fang
3 months
RT @mengzaiqiao: 🎉 An open-source AI Agent project, EvoAgentX, led by @GlasgowCS PhD students, has received ⭐️ 260+ stars on GitHub in jus….
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@JinyuanF
Jinyuan Fang
3 months
RT @EvoAgentX: 🚨 EvoAgentX Surpasses 100 Stars!.Introducing EvoAgentX: the world’s first self-evolving AI agent framework 🧠⚙️.✅ Automated P….
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@JinyuanF
Jinyuan Fang
3 months
RT @_xizhang: 🎉 Excited to share that our paper "Libra: Leveraging Temporal Images for Biomedical Radiology Analysis" (w/@mengzaiqiao, @jak….
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@JinyuanF
Jinyuan Fang
3 months
🎉 Glad to share that our paper "KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation" (w/ @mengzaiqiao and @craig_macdonald) has been accepted at #ACL2025 as a main conference paper!.
@mengzaiqiao
Zaiqiao Meng
6 months
Just uploaded our paper KiRAG to Arxiv! 🚀.KiRAG integrates reasoning into retrieval, dynamically identifying and retrieving knowledge to bridge information gaps. We leverage KGs to enhance the retrieval process of iRAG. 📄:💻:
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@JinyuanF
Jinyuan Fang
3 months
RT @mengzaiqiao: Just uploaded our paper KiRAG to Arxiv! 🚀.KiRAG integrates reasoning into retrieval, dynamically identifying and retrievin….
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@JinyuanF
Jinyuan Fang
3 months
RT @EvoAgentX: 🚀 Thrilled to introduce EvoAgentX: The world’s first self-evolving framework for AI Agents!🌐. Hightlights:.🛠️ Automatic agen….
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@JinyuanF
Jinyuan Fang
6 months
RT @XinhaoYi: 🚀 Excited to share that our paper "BPP: A Platform for Automatic Biochemical Pathway Prediction" (w/ @TedSiwei, Yu Wu, Dougla….
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@JinyuanF
Jinyuan Fang
7 months
RT @keirworkshop: 📢 Excited to announce that Prof. Alessandro Lenci (@AlexLenci1966) from @Unipisa and Dr. Andrew Yates (@andrewyates) from….
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@JinyuanF
Jinyuan Fang
9 months
RT @keirworkshop: 📢 We are excited to announce the Call for Papers for the 2nd KEIR at @ecir2025 #ECIR2025! . 📅 Submission Deadline: Janua….
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@JinyuanF
Jinyuan Fang
9 months
RT @ZixuanYI_: At 15:00 on 17th November, Aixin Sun @AixinSG from the Nanyang Technological University will give an #IRTalk entitled "Under….
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@JinyuanF
Jinyuan Fang
9 months
RT @JackMcK1999: Today, Jinyuan Fang @JinyuanF from the University of Glasgow is giving an #IRTalk entitled "Knowledge Graph Enhanced Retri….
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@JinyuanF
Jinyuan Fang
10 months
RT @keirworkshop: Excited to share that the 2nd KEIR workshop will be held at @ecir2025 #ECIR2025. 🎉. Huge thanks to @ZihanWa54274484 @Jiny….
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@JinyuanF
Jinyuan Fang
11 months
🎉Glad to share that our paper "TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation"(w/ @mengzaiqiao and @craig_macdonald ) has been accepted at #EMNLP2024 @emnlpmeeting as a findings paper!.
@JinyuanF
Jinyuan Fang
1 year
TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation (w/ @mengzaiqiao, @craig_macdonald). Takeaway: using reasoning chains (purely KG triples) built from docs beats using full docs for RAGs. #rag . Paper:
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@JinyuanF
Jinyuan Fang
1 year
Some of us from Glasgow will be presenting our work at #ACL2024NLP! Come by to chat about our latest research in NLP and BioNLP. @ir_glasgow
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