PPaperPicks

Tao Shen

7 papers at tracked venues · 7 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-task Learning
  2. FedCFA: Alleviating Simpson's Paradox in Model Aggregation with Counterfactual Federated Learning
  3. FedGuCci: Making Local Models More Connected in Landscape for Federated Learning
  4. FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models
  5. Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering
  6. REMEDY: Recipe Merging Dynamics in Large Vision-Language Models
  7. Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models