37 results on '"Fuzheng Zhang"'
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2. TSO: Self-Training with Scaled Preference Optimization.
3. Video DataFlywheel: Resolving the Impossible Data Trinity in Video-Language Understanding.
4. Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs.
5. Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues.
6. Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint.
7. Towards Comprehensive Preference Data Collection for Reward Modeling.
8. Chain-of-Specificity: An Iteratively Refining Method for Eliciting Knowledge from Large Language Models.
9. Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector.
10. Research on Foundation Model for Spatial Data Intelligence: China's 2024 White Paper on Strategic Development of Spatial Data Intelligence.
11. Ask One More Time: Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios.
12. KwaiYiiMath: Technical Report.
13. Do We Really Need Contrastive Learning for Graph Representation?
14. CoT-MAE v2: Contextual Masked Auto-Encoder with Multi-view Modeling for Passage Retrieval.
15. Parrot: Enhancing Multi-Turn Chat Models by Learning to Ask Questions.
16. DialogBench: Evaluating LLMs as Human-like Dialogue Systems.
17. HGCVAE: Integrating Generative and Contrastive Learning for Heterogeneous Graph Learning.
18. Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks.
19. ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer.
20. Popularity Bias Is Not Always Evil: Disentangling Benign and Harmful Bias for Recommendation.
21. ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction.
22. DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network.
23. Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models.
24. Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval.
25. Leveraging Historical Interaction Data for Improving Conversational Recommender System.
26. S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization.
27. Query-aware Tip Generation for Vertical Search.
28. Transcribing Content from Structural Images with Spotlight Mechanism.
29. Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation.
30. Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization.
31. Earlier Attention? Aspect-Aware LSTM for Aspect Sentiment Analysis.
32. Cross-domain novelty seeking trait mining for sequential recommendation.
33. xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems.
34. Ripple Network: Propagating User Preferences on the Knowledge Graph for Recommender Systems.
35. DKN: Deep Knowledge-Aware Network for News Recommendation.
36. GraphGAN: Graph Representation Learning with Generative Adversarial Nets.
37. SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction.
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