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T. Nguyen

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Conference Open access 2026

Towards Fast and Accurate Modeling for Cross-Lingual Label Projection

This work proposes to synthesize alignment sequence pairs and fine-tune an encoder model with span alignment objective and introduces EXP - the first benchmark for explicit evaluation of label projection, thereby reducing confounders and non-determinism in method assessment.

Thang Le, Huy Huu Nguyen, A. Luu et al. · 0 citations
Conference Open access 2026

Octopus: Gated Selective Attention for Memory-Bounded Long-Context Inference in Large Language Models

O CTOPUS is proposed, a framework that confers fixed-memory inference onto pretrained Transform-ers without the information loss of linearization and outperforms state-of-the-art linearized baselines on the GSM8K benchmark, demonstrating that learned sparse retention serves as an effective regular-izer for long-horizon reasoning.

C. Nguyen, Ryan A. Rossi, L. Van et al. · 0 citations