Van Dai Do

Orcid: 0009-0005-1308-077X

Affiliations:
  • Deakin University, Australia


According to our database1, Van Dai Do authored at least 12 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Uncertainty-Guided Checkpoint Selection for Reinforcement Finetuning of Large Language Models.
CoRR, November, 2025

GRAD: Graph-Retrieved Adaptive Decoding for Hallucination Mitigation.
CoRR, November, 2025

CausalPlan: Empowering Efficient LLM Multi-Agent Collaboration Through Causality-Driven Planning.
CoRR, August, 2025

SPaRFT: Self-Paced Reinforcement Fine-Tuning for Large Language Models.
CoRR, August, 2025

Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models.
Trans. Mach. Learn. Res., 2025

Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting.
Proceedings of the IEEE International Conference on Data Mining, 2025

Sample Efficient Alignment Learning With Episodic Control.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Dynamic Steering With Episodic Memory For Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Large Language Models Prompting With Episodic Memory.
CoRR, 2024

Large Language Model Prompting with Episodic Memory.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Deep Reinforcement Learning for Multi-Hop Offloading in UAV-Assisted Edge Computing.
IEEE Trans. Veh. Technol., December, 2023

2022
An Analysis of Uplink Success Probability in Multi-Cell Lora Networks Under Different Channel Models.
CoRR, 2022


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