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Hung Le

Deakin University, Applied Artificial Intelligence Institute, Geelong, Australia

22 papers at tracked venues · 7 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-3126-184X ↗Google Scholar ↗Homepage ↗

Venues

ACL ×3ECAI ×3IJCAI ×3AAAI ×2AAMAS ×2ECML-PKDD ×2ICDM ×2ICLR ×2EMNLP ×1NAACL ×1WACV ×1

Frequent coauthors

Dai Do
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Dung Nguyen
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Giang Do
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Minh Hoang Nguyen
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Linh Le Pham Van
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Ragja Palakkadavath
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Manh Nguyen
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Kha Pham
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Kien Do
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Papers

  1. Do Domain-specific Experts exist in MoE-based LLMs?
    ACL 2026 ·
    Giang Do
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  2. Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
    AAAI 2026 ·
    Manh Nguyen
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  3. SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning
    ACL 2026 ·
    Van Dai Do
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  4. Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting
    ICDM 2025 · Hung Le
  5. Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer
    IJCAI 2025 ·
    Minh Hoang Nguyen
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  6. DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-Domain Reinforcement Learning
    ECAI 2025 ·
    Linh Le Pham Van
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  7. Dynamic Steering With Episodic Memory For Large Language Models
    ACL 2025 ·
    Van Dai Do
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  8. Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains
    WACV 2025 ·
    Ragja Palakkadavath
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  9. Federated Domain Generalization with Latent Space Inversion
    ICDM 2025 ·
    Ragja Palakkadavath
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  10. Hybrid Cross-Domain Robust Reinforcement Learning
    ECML-PKDD 2025 ·
    Linh Le Pham Van
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  11. Multi-Reference Preference Optimization for Large Language Models
    AAAI 2025 · Hung Le
  12. Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences
    AAMAS 2025 ·
    Dung Nguyen
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  13. Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences
    IJCAI 2025 ·
    Dung Nguyen
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  14. Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering
    ICLR 2025 ·
    Kha Pham
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  15. Sample Efficient Alignment Learning With Episodic Control
    EMNLP 2025 ·
    Van Dai Do
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  16. SimSMoE: Toward Efficient Training Mixture of Experts via Solving Representational Collapse
    NAACL 2025 ·
    Giang Do
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  17. Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning
    ICLR 2025 · Hung Le
  18. Beyond Surprise: Improving Exploration Through Surprise Novelty
    AAMAS 2024 · Hung Le
  19. Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach
    IJCAI 2024 ·
    Dung Nguyen
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  20. Large Language Model Prompting with Episodic Memory
    ECAI 2024 ·
    Dai Do
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  21. Revisiting the Dataset Bias Problem from a Statistical Perspective
    ECAI 2024 ·
    Kien Do
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  22. Variable-Agnostic Causal Exploration for Reinforcement Learning
    ECML-PKDD 2024 ·
    Minh Hoang Nguyen
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