PPaperPicks

Yao Shu

17 papers at tracked venues · 15 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Optimization and Robustness-Informed Membership Inference Attacks for LLMs
  2. Self-Reflective Generation at Test Time
  3. Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives
  4. FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation
  5. Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models
    ICML 2025 · Yao Shu
  6. Flexora: Flexible Low-Rank Adaptation for Large Language Models
  7. Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints
  8. PAFT: Prompt-Agnostic Fine-Tuning
  9. ReDit: Reward Dithering for Improved LLM Policy Optimization
  10. Refining Adaptive Zeroth-Order Optimization at Ease
    ICML 2025 · Yao Shu
  11. WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models
  12. Localized Zeroth-Order Prompt Optimization
  13. OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations
    NeurIPS 2024 · Yao Shu
  14. Position Paper: Data-Centric AI in the Age of Large Language Models
  15. Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
  16. Robustifying and Boosting Training-Free Neural Architecture Search
  17. Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers