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Changhun Lee

8 papers at tracked venues · 2 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. DreamCatcher: Efficient Multi-Concept Customization via Representation Finetuning
  2. AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models
  3. PTQ4VM: Post-Training Quantization for Visual Mamba
  4. PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality
  5. SEAL: Scaling to Emphasize Attention for Long-Context Retrieval
    ACL 2025 · Changhun Lee
  6. OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models
    AAAI 2024 · Changhun Lee
  7. QEFT: Quantization for Efficient Fine-Tuning of LLMs
    EMNLP 2024 · Changhun Lee
  8. Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout
    EMNLP 2024 · Changhun Lee