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Daniel Dajun Zeng

Chinese Academy of Sciences, Institute of Automation, Beijing, China

16 papers at tracked venues · 12 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Entropy Scheduling in Reinforcement Learning for Large Language Models
  2. Reinforcement Learning-Guided Adaptive Tuning for Out-of-Distribution Harmful Text Detection
  3. Spectral-Adaptive Adversarial Hashing for Robust Image Retrieval
  4. A Self-Supervised Adaptive Tuning Approach for Out-of-Distribution Social Media Bot Detection
  5. Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution
  6. Dynamic Detection of Sarcasm Topic-Target Pairs via LLM-Based Knowledge Alignment
  7. Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training Data
  8. Learning Dynamics in Continual Pre-Training for Large Language Models
  9. Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models
  10. Offline Meta Reinforcement Learning with Weighted Policy Constraints and Proximal Context Collection
  11. POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge Distillation
  12. Uncertainty Unveiled: Can Exposure to More In-context Examples Mitigate Uncertainty for Large Language Models?
  13. A Heterogeneous Network fused with Context-aware Contrastive Learning for Sarcasm Topic-Target Pair Identification
  14. An LLM-Enabled Knowledge Elicitation and Retrieval Framework for Zero-Shot Cross-Lingual Stance Identification
  15. DAG-Based Column Generation for Adversarial Team Games
  16. Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons