PPaperPicks

Feng Zhang

12 papers at tracked venues · 9 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. RUQuant: Towards Refining Uniform Quantization for Large Language Models
  2. SEP-Attack: A Simple and Effective Paradigm for Transfer-Based Textual Adversarial Attack
  3. AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection
  4. Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning
  5. SEP-MLDC: A Simple and Effective Paradigm for Multi-Label Document Classification
  6. SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models
  7. A Coarse-to-Fine Prototype Learning Approach for Multi-Label Few-Shot Intent Detection
  8. Depression Detection via Capsule Networks with Contrastive Learning
  9. From Discrimination to Generation: Low-Resource Intent Detection with Language Model Instruction Tuning
    ACL 2024 · Feng Zhang
  10. Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing
  11. Meta-Prompt Tuning Vision-Language Model for Multi-Label Few-Shot Image Recognition
    CIKM 2024 · Feng Zhang
  12. SELP: A Semantically-Driven Approach for Separated and Accurate Class Prototypes in Few-Shot Text Classification