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Focusing on Recommender Systems, Information Retrieval, LLMs, and GeoAI.
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City University of Hong Kong
- Hong Kong
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10:25
- 8h ahead - https://jia-py.github.io/
Highlights
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Applied-Machine-Learning-Lab/Awesome-Personalized-RAG-Agent
Applied-Machine-Learning-Lab/Awesome-Personalized-RAG-Agent PublicA Survey of Personalization: From RAG to Agent
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Applied-Machine-Learning-Lab/G3
Applied-Machine-Learning-Lab/G3 PublicCode repository for paper: "G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models"
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Applied-Machine-Learning-Lab/ERASE
Applied-Machine-Learning-Lab/ERASE PublicCode for the Paper "ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems"
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Applied-Machine-Learning-Lab/MILL
Applied-Machine-Learning-Lab/MILL PublicThis is the code repo for paper "MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion"
Python 7
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Applied-Machine-Learning-Lab/RADIO
Applied-Machine-Learning-Lab/RADIO PublicCode for the Paper "Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation"
Python 1
91 contributions in the last year
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