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fscdc/README.md

I am broadly interested in model compression (e.g., pruning, efficient LLMs) and reasoning with LLMs/MLLMs (efficiency, visual reasoning). My previous works focus on fine-grained visual reasoning (benchmark & RL), efficient reasoning, and model compression.

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  1. Awesome-Efficient-Reasoning-Models Awesome-Efficient-Reasoning-Models Public

    [TMLR 2025] Efficient Reasoning Models: A Survey

    Python 285 21

  2. ReasonMap ReasonMap Public

    [arXiv 2025] Can MLLMs Guide Me Home? A Benchmark Study on Fine-Grained Visual Reasoning from Transit Maps

    Python 70 2

  3. RewardMap RewardMap Public

    [arxiv 2025] RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning

    Python 35 1

  4. BioX-NKU/scBackdoor BioX-NKU/scBackdoor Public

    Backdoor attacks in single-cell pretrained models

    Python 33 1

  5. NKU-CS-HELP NKU-CS-HELP Public

    NKU CS course code and report

    Jupyter Notebook 82 6

  6. Oracle-Pruning-Sanity-Check Oracle-Pruning-Sanity-Check Public

    [arXiv 2024] Is Oracle Pruning the True Oracle?

    Python 9