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Hung Le

SignboardText: Text Detection and Recognition in In-the-Wild Signboard Images
2021 · Tien Do, Thuyen Tran, et al. · IEEE Access · 10
Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach
2024 · Dung Nguyen, Hung Le, et al. · International Joint Conference on Artificial Intelligence · 1
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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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An immunological synapse network for recognition of persistent weak anomalies
2026 · Sherif Tawfik, Hung Le, et al. · Research Square
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LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models
2026 · Nguyen, Huu Hiep, Nguyen, Dung, et al. · arXiv (Cornell University)
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Fatness and Flatness
2026 · Filtser, Arnold, Le, Hung, 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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Spectral Retrieval-Augmented Time-Series Forecasting
2026 · Nguyen, Huu Hiep, Nguyen, Minh Hoang, et al. · arXiv (Cornell University)
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Does Text Actually Help? Uncovering and Resolving Text Collapse in Multimodal Time Series Forecasting
2026 · Nguyen, Huu Hiep, 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.
Eigenvectors of Experts are Training-free Non-collapsing Routers
2026 · Do, Giang, Le, Hung, et al. · arXiv (Cornell University)
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Uncertainty-Aware Budget Allocation for Adaptive Test-Time Reasoning
2026 · Nguyen, Manh, Gupta, Sunil, et al. · arXiv (Cornell University)
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Reviving Error Correction in Modern Deep Time-Series Forecasting
2026 · Nguyen, Minh Hoang, Do, Dai, et al. · arXiv (Cornell University)
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Do Domain-specific Experts exist in MoE-based LLMs?
2026 · Do, Giang, Le, Hung, et al. · arXiv (Cornell University)
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Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting
2026 · Nguyen, Huu Hiep, Nguyen, Minh Hoang, 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 · Association for Artificial Intelligence 2026, Gupta, Sunil, et al. · Underline Science Inc.
Continual Fine-Tuning of Large Language Models via Program Memory
2026 · Hung Le, Svetha Venkatesh · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Creative Generation via Multi-Agent Debate: Does Debate Suppress Diversity?
2026 · Tien Anh Nguyen, Khanh-Binh Nguyen, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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On the Role of Discrete Representation in Sparse Mixture of Experts
2024 · Do, Giang, Pham, Kha, et al. · arXiv (Cornell University)
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Beyond Surprise: Improving Exploration Through Surprise Novelty
2024 · Hung Le, Kien Do, et al. · Adaptive Agents and Multi-Agents Systems
Works count: 21
Citation count: 11
H-index: 1
I10-index: 1
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