作者位次 #6/6ICML 2026Poster· Applications / Time Series
Reviving Error Correction in Modern Deep Time-Series Forecasting
Minh Nguyen · Van Dai Do · Huu Nguyen · Dung Nguyen · Kien Do · Hung Le
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Minh Nguyen · Van Dai Do · Huu Nguyen · Dung Nguyen · Kien Do · Hung Le
Giang Do · Hung Le · Truyen Tran
Giang Do · Hung Le · Truyen Tran
Giang Do · Hung Le · Truyen Tran
In the era of Large Language Models (LLMs), the Mixture of Experts (MoE) architecture has emerged as an effective approach for training extremely large models with improved computational efficiency. This success builds upon extensive prior research aimed at enhancing expert specialization in MoE-...
Dai Do · Manh Nguyen · Svetha Venkatesh · Hung Le
Large language models (LLMs) have shown strong reasoning capabilities when fine-tuned with reinforcement learning (RL). However, such methods require extensive data and compute, making them impractical under many realistic training budgets. Many existing pipelines sample training examples uniform...
Manh Nguyen · Sunil Gupta · Hung Le