Papers by Dongliang Xie

2 papers
Latent Part-of-Speech Sequences for Neural Machine Translation (D19-1)

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Challenge: Existing methods for learning target side syntactic structure are greedy and only allow them to explore a limited portion of the latent space.
Approach: They propose a new latent variable model, LaSyn, that captures the co-dependence between syntax and semantics while allowing for effective inference over the latent space.
Outcome: The proposed model captures the co-dependence between syntax and semantics while allowing for efficient inference over the latent space.
APEX: Learning Adaptive Priorities for Multi-Objective Alignment in Vision-Language Generation (2026.findings-acl)

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Challenge: APEX optimizes for text-to-image generation by combining learning potential, conflict penalty, and progress need.
Approach: They propose an algorithm that stabilizes heterogeneous rewards and dynamically schedules objectives . they propose a method that achieves better Pareto trade-offs across four heterogenous objectives based on P3 Adaptive Priorities .
Outcome: The proposed algorithm achieves better pareto trade-offs across four heterogeneous objectives while maintaining competitive OCR accuracy.

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