Papers with lexical and semantic alignment

2 papers
UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages (2024.acl-long)

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Challenge: Existing pre-trained language models are weak in addressing cross-lingual transfer tasks.
Approach: They propose a method for initializing embeddings and choosing the right vocabulary size for cross-lingual systems.
Outcome: The proposed method improves the F1-Score in several languages .
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing (2024.findings-acl)

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Challenge: Recent studies have focused on harms of memes in closed environments, such as hate speech and cyber-bullying.
Approach: They propose a multimodal question-answering framework that solicits accurate responses to structured questions while providing coherent explanations.
Outcome: The proposed framework outperforms existing frameworks in predicting answer prediction accuracy and text generation lead over a baseline.

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