Papers by Changwei Xu

2 papers
Understanding Attention for Vision-and-Language Tasks (2022.coling-1)

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Challenge: Attention mechanism has been used in Vision-and-Language (VL) tasks to bridge the semantic gap between visual and textual clues.
Approach: They conduct a comprehensive analysis on understanding the role of attention alignment by looking into attention score calculation methods and checking how it represents the visual region’s and textual token’s significance for the global assessment.
Outcome: The attention score calculation methods represent visual region’s and textual token’s significance for the global assessment.
Rethinking Data Mixing from the Perspective of Large Language Models (2026.acl-short)

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Challenge: Existing methods to mix data with LLMs have relied on domain definitions derived from intuition.
Approach: They propose a reweighting framework that restructures data scheduling as a graph-constrained optimization problem.
Outcome: The proposed framework achieves competitive performance on GPT-2 models.

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