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Author

Manh Nguyen

Observed name: Nguyen, Manh
Institution: Deakin University
Observed institution: Deakin University
OpenAlex ID: A5125755076
Think More or Read More? A Token-Budget Theory of Reasoning with Shared Context
2026 · Nguyen, Manh, Gupta, Sunil, et al. · arXiv (Cornell University)
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Lotus: Learning to Understand Time-series by Learning to Forecast
2026 · Do, Van Dai, Nguyen, Huu Hiep, et al. · arXiv (Cornell University)
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Volatility-Clustering Adaptation for Financial Time Series
2026 · Nguyen, Manh, Nguyen, Minh Hoang, et al. · arXiv (Cornell University)
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Memory in Deep Time-Series Models
2026 · Nguyen, Minh Hoang, Nguyen, Huu Hiep, et al. · arXiv (Cornell University)
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Expert-Guided Forecast Editing for Time-Series Foundation Models
2026 · Le, Hung, Nguyen, Minh Hoang, et al. · arXiv (Cornell University)
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SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning
2026 · Association for Computational Linguistics 2026, Do, Van, et al. · Underline Science Inc.
Uncertainty-Aware Budget Allocation for Adaptive Test-Time Reasoning
2026 · Nguyen, Manh, Gupta, Sunil, et al. · arXiv (Cornell University)
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Efficient Best-Of-N with Radial Consensus Score
2026 · Nguyen, Manh, Gupta, Sunil, et al. · arXiv (Cornell University)
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Hear Both Sides: Efficient Multi-Agent Debate via Diversity-Aware Message Retention
2026 · Nguyen, Manh, Nguyen, Anh, et al. · arXiv (Cornell University)
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Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
2026 · Manh Nguyen, Sunil Gupta, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
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Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
2026 · Association for Artificial Intelligence 2026, Gupta, Sunil, et al. · Underline Science Inc.
SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning
2026 · Van Dai Do, Manh Nguyen, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Works count: 15
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