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hhy-huang/README.md

A Ph.D. student focused on LLM Memory.

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  1. HKUST-KnowComp/Awesome-In-Parameter-Memory HKUST-KnowComp/Awesome-In-Parameter-Memory Public

    Towards In-Parameter Memory Augmentation for Large Language Models. A survey paper.

    7

  2. HKUST-KnowComp/DeepRefine-Skill HKUST-KnowComp/DeepRefine-Skill Public

    An agent skill to evolve the quality of LLM-Wiki (Graphify) at test time.

    Python 91 9

  3. HKUST-KnowComp/DeepRefine HKUST-KnowComp/DeepRefine Public

    A reinforcement learning framework for agentic knowledge refinement that evolves KBs with multi-turn interaction history.

    Python 16 1

  4. HKUST-KnowComp/AtlasKV HKUST-KnowComp/AtlasKV Public

    [ICLR'26] A scalable, effective, and general way to augment LLMs with billion-scale knowledge graphs using very little GPU memory cost.

    Python 26 4

  5. HiRAG HiRAG Public

    [EMNLP'25 findings] An easy-to-use Graph RAG system using hierarchical knowledge.

    Python 555 81

  6. GraphJudge GraphJudge Public

    [EMNLP'25 main] This is the official repo for the paper, Can LLMs be Good Graph Judge for Knowledge Graph Construction?

    Python 30 6