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Shaoguo Liu

Identifiers

  • name variant ShaoGuo Liu 0.60 · backfill

Papers (20)

  1. ETTRL: Balancing Exploration and Exploitation in LLM Test-Time Reinforcement Learning Via Entropy Mechanism cs.LG · 2025 · author #6 as printed: ShaoGuo Liu
  2. ContextQFormer: A New Context Modeling Method for Multi-Turn Multi-Modal Conversations cs.CL · 2025 · author #5
  3. GODBench: A Benchmark for Multimodal Large Language Models in Video Comment Art cs.CL · 2025 · author #5
  4. SeriesBench: A Benchmark for Narrative-Driven Drama Series Understanding cs.CV · 2025 · author #5
  5. KwaiChat: A Large-Scale Video-Driven Multilingual Mixed-Type Dialogue Corpus cs.CL · 2025 · author #9
  6. Reliable Imputed-Sample Assisted Vertical Federated Learning cs.LG · 2025 · author #3
  7. AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers cs.LG · 2024 · author #4
  8. FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning cs.IR · 2023 · author #3
  9. Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning cs.IR · 2023 · author #3
  10. Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking cs.IR · 2023 · author #4
  11. RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads cs.IR · 2023 · author #3
  12. Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation cs.IR · 2022 · author #3
  13. Modeling Adaptive Fine-grained Task Relatedness for Joint CTR-CVR Estimation cs.IR · 2022 · author #5
  14. AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction cs.IR · 2022 · author #4
  15. MCMF: Multi-Constraints With Merging Features Bid Optimization in Online Display Advertising cs.GT · 2022 · author #2
  16. Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding cs.IR · 2022 · author #2
  17. CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning cs.CL · 2022 · author #3
  18. Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising cs.LG · 2022 · author #5
  19. UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation cs.IR · 2022 · author #4
  20. Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach cs.IR · 2021 · author #4

Mentions

  • 2508.11356 #6 · arxiv_oai · confidence 0.70 ShaoGuo Liu
  • 2505.23121 #5 · arxiv_oai · confidence 0.70 Shaoguo Liu
  • 2505.11436 #5 · arxiv_oai · confidence 0.70 Shaoguo Liu
  • 2503.06899 #9 · arxiv_oai · confidence 0.70 Shaoguo Liu
  • 2504.21435 #5 · arxiv_oai · confidence 0.70 Shaoguo Liu
  • 2501.06429 #3 · arxiv_oai · confidence 0.70 Shaoguo Liu
  • 2302.02592 #3 · arxiv_oai · confidence 0.70 Shaoguo Liu
  • 2205.07295 #5 · arxiv_oai · confidence 0.70 Shaoguo Liu
  • 2405.03481 #4 · arxiv_oai · confidence 0.70 Shaoguo Liu
  • 2305.08328 #3 · arxiv_oai · confidence 0.70 Shaoguo Liu
  • 2211.11191 #3 · arxiv_oai · confidence 0.70 Shaoguo Liu
  • 2303.05847 #3 · arxiv_oai · confidence 0.70 Shaoguo Liu
  • 2302.02636 #4 · arxiv_oai · confidence 0.70 Shaoguo Liu
  • 2208.13442 #5 · arxiv_oai · confidence 0.70 Shaoguo Liu
  • 2206.13108 #4 · arxiv_oai · confidence 0.70 Shaoguo Liu
  • 2206.12147 #2 · arxiv_oai · confidence 0.70 Shaoguo Liu
  • 2205.14970 #2 · arxiv_oai · confidence 0.70 Shaoguo Liu
  • 2205.08943 #3 · arxiv_oai · confidence 0.70 Shaoguo Liu
  • 2201.08024 #4 · arxiv_oai · confidence 0.70 Shaoguo Liu
  • 2105.07706 #4 · arxiv_oai · confidence 0.70 Shaoguo Liu

Frequent Coauthors