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Hongjin Qian 钱泓锦 | Homepage

 Genereret Januar 18 2026 20:36 PM

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Titel

Hongjin Qian 钱泓锦 | Homepage

Længde : 27

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Beskrivelse

Portfolio and personal blog of Hongjin Qian.

Længde : 44

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Overskrifter

H1 H2 H3 H4 H5 H6
3 0 1 0 25 18
  • [H1] Hi, I am Hongjin
  • [H1] Research
  • [H1] Experiences
  • [H3] Hongjin Qian
  • [H5] Postdoctoral Researcher at Peking University
  • [H5] Search Agent
  • [H5] Retrieval-Augmentation Generation
  • [H5] Conversational Search
  • [H5] Others
  • [H5] Assistant Research Fellow
  • [H5] Postdoctoral Researcher
  • [H5] Research Intern
  • [H5] PhD. Researcher
  • [H5] NLP Engineer
  • [H5] Patents Statistics
  • [H5] Academic Service
  • [H5] Hierarchical Memory-Enhanced Knowledge Reasoning for Large Language Models
  • [H5] MemoRAG
  • [H5] Infomatica
  • [H5] A Method for Long Text Retrieval in Open-Domain Question Answering Tasks
  • [H5] Optical Character Recognition Method Incorporating Pretrained Language Model
  • [H5] A Method for Uyghur Language Named Entity Recognition
  • [H5] A Semantic Parsing Method Based on Rules and Learning
  • [H5] A Multi-Level Long Text Dense Retrieval Method
  • [H5] A Latin-Alphabet-Based Uyghur Language Processing Method and System
  • [H5] A Method for Pinyin-Based Chinese Language Representation
  • [H5] A Natural Language Processing Method and System Based on Index Data
  • [H5] Navigation
  • [H5] Contact me:
  • [H6] Agentic search is a retrieval approach where an AI agent actively plans, decomposes, and executes multi-step information-seeking actions to answer complex user questions.
  • [H6] Publications
  • [H6] Retrieval-Augmented Generation (RAG) is a method that first retrieves relevant information from an external knowledge source and then combines it with the model’s input to generate more accurate and informative responses.
  • [H6] Publications
  • [H6] Conversational search is an interactive search paradigm where users and systems engage in a dialogue, allowing queries, clarifications, and refinements across multiple turns to iteratively reach more accurate and context-aware results.
  • [H6] Publications
  • [H6] Dialogue System, QA System, Ranking, Retrieval, Theory, etc.
  • [H6] Publications
  • [H6] Peking University
  • [H6] Responsibilities:
  • [H6] Peking University
  • [H6] Responsibilities:
  • [H6] Wechat Group, Tencent.
  • [H6] Responsibilities:
  • [H6] Renmin University of China.
  • [H6] Responsibilities:
  • [H6] Elensdata.
  • [H6] Responsibilities:

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On-page links

Vi fandt et total af 54 links inkluderende 38 link(s) til filer

Anker Type Juice
Home Intern Sender Juice
About Intern Sender Juice
Research Intern Sender Juice
Experiences Intern Sender Juice
Academic Intern Sender Juice
Posts Intern Sender Juice
Notes Intern Sender Juice
Peking University Ekstern Sender Juice
Zhicheng Dou Ekstern Sender Juice
Ji-Rong Wen Ekstern Sender Juice
Model-Document Protocol for AI Search. Ekstern Sender Juice
InfoFlow: Reinforcing Search Agent Via Reward Density Optimization. Ekstern Sender Juice
FinSight: Towards Real-World Financial Deep Research. Ekstern Sender Juice
Open Data Synthesis For Deep Research. Ekstern Sender Juice
MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning. Ekstern Sender Juice
Decoupled Planning and Execution: A Hierarchical Reasoning Framework for Deep Search. Ekstern Sender Juice
VideoDeepResearch: Long Video Understanding With Agentic Tool Using. Ekstern Sender Juice
Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning. Ekstern Sender Juice
Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging. Ekstern Sender Juice
WebThinker: Empowering Large Reasoning Models with Deep Research Capability. Ekstern Sender Juice
Does RAG Really Perform Bad For Long-Context Processing? Ekstern Sender Juice
HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks. Ekstern Sender Juice
Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization. Ekstern Sender Juice
Memory-enhanced Retrieval Augmentation for Long Video Understanding. Ekstern Sender Juice
Boosting Long-Context Information Seeking via Query-Guided Activation Refilling. Ekstern Sender Juice
MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation. Ekstern Sender Juice
Tackling the Length Barrier: Dynamic Context Browsing for Knowledge-Intensive Task. Ekstern Sender Juice
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey. Ekstern Sender Juice
RAG-Studio: Towards In-Domain Adaptation Of Retrieval Augmented Generation Through Self Alignment. Intern Sender Juice
Grounding Language Model with Chunking-Free In-Context Retrieval. Ekstern Sender Juice
Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection. Ekstern Sender Juice
Webbrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus. Ekstern Sender Juice
Evolving Graph-Based Context Modeling for Multi-Turn Conversational Retrieval-Augmented Generation. Ekstern Sender Juice
A Survey of Conversational Search. Ekstern Sender Juice
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation. Ekstern Sender Juice
Search-oriented Conversational Query Editing. Ekstern Sender Juice
Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search. Ekstern Sender Juice
Learning Denoised and Interpretable Session Representation for Conversational Search. Ekstern Sender Juice
Explicit Query Rewriting for Conversational Dense Retrieval. Ekstern Sender Juice
ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval. Ekstern Sender Juice
Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval. Ekstern Sender Juice
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization. Ekstern Sender Juice
Extending Llama-3’s Context Ten-Fold Overnight. Ekstern Sender Juice
Learning on Structured Documents for Conditional Question Answering. Ekstern Sender Juice
Topic-Enhanced Personalized Retrieval-Based Chatbot. Ekstern Sender Juice
Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation. Ekstern Sender Juice
Webformer: Pre-training with Web Pages for Information Retrieval. Ekstern Sender Juice
Learning Implicit User Profile for Personalized Retrieval-Based Chatbot. Ekstern Sender Juice
Pchatbot: A Large-Scale Dataset for Personalized Chatbot. Ekstern Sender Juice
Speaker or Listener? The Role of a Dialog Agent. Ekstern Sender Juice
About Intern Sender Juice
Research Intern Sender Juice
Experiences Intern Sender Juice
Academic Intern Sender Juice

SEO Nøgleord

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language qian search hongjin zhicheng liu zheng dou retrieval ccf-a

Nøgleords balance

Nøgleord Indhold Titel Nøgleord Beskrivelse Overskrifter
hongjin 45
qian 44
dou 33
zhicheng 33
liu 27

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