Manh Nguyen

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Uncertainty-Aware Budget Allocation for Adaptive Test-Time Reasoning.
CoRR, May, 2026

Beyond Majority Voting: Efficient Best-Of-N with Radial Consensus Score.
CoRR, April, 2026

Hear Both Sides: Efficient Multi-Agent Debate via Diversity-Aware Message Retention.
CoRR, March, 2026

Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Semi-Supervised Contrastive Learning with Orthonormal Prototypes.
CoRR, December, 2025

Nonnegative Matrix Factorization through Cone Collapse.
CoRR, December, 2025

Graph Contrastive Learning via Spectral Graph Alignment.
CoRR, December, 2025

Distance Is All You Need: Radial Dispersion for Uncertainty Estimation in Large Language Models.
CoRR, December, 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

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

CAAD: Context-Aware Adaptive Decoding for Truthful Text Generation.
CoRR, August, 2025

Towards Robust Fact-Checking: A Multi-Agent System with Advanced Evidence Retrieval.
CoRR, June, 2025

2024
Continual Relation Extraction via Sequential Multi-Task Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2019
Yours Truly? Survey on Accessibility of Our Personal Data in the Connected World.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019


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