PPaperPicks

Lei Yu

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

Venues

Frequent coauthors

Papers

  1. Binary Message Passing for Generalizable Semi-Supervised Graph Anomaly Detection
  2. GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences
  3. MTGenRec: An Efficient Distributed Training System for Generative Recommendation Models in Meituan
  4. OxyGent: Making Multi-Agent Systems Modular, Observable, and Evolvable via Oxy Abstraction
  5. Sparse Brains are Also Adaptive Brains: Cognitive-Load-Aware Dynamic Activation for LLMs
  6. Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations
  7. Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts
  8. Effective Diffusion Transformer Architecture for Image Super-Resolution
  9. Emergence of a High-Dimensional Abstraction Phase in Language Transformers
  10. Geometric Signatures of Compositionality Across a Language Model's Lifetime
  11. Intrinsic Test of Unlearning Using Parametric Knowledge Traces
  12. MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading
  13. MTGR: Industrial-Scale Generative Recommendation Framework in Meituan
  14. NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Results
  15. RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler
  16. Restricted Global-Aware Graph Filters Bridging GNNs and Transformer for Node Classification
  17. Robust LLM safeguarding via refusal feature adversarial training
    ICLR 2025 · Lei Yu
  18. Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity
    EMNLP 2025 · Lei Yu
  19. Summary Factual Inconsistency Detection Based on LLMs Enhanced by Universal Information Extraction
  20. The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction
  21. Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic
  22. Learning Quantized Adaptive Conditions for Diffusion Models
  23. MA-MIX: Value Function Decomposition for Cooperative Multiagent Reinforcement Learning Based on Multi-Head Attention Mechanism
  24. PQ-SAM: Post-training Quantization for Segment Anything Model