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Aline Villavicencio

ACL 2026×2多语言与语言学推理强化学习与后训练可解释性评测与基准
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #3/4ACL 2026Poster· Natural Language Processing

Mitigating Catastrophic Forgetting in Target Language Adaptation of LLM s via Source-Shielded Updates

Atsuki Yamaguchi · Terufumi Morishita · Aline Villavicencio · Nikolaos Aletras

摘要

Expanding the linguistic diversity of instruct large language models (LLMs) is crucial for global accessibility but is often hindered by the reliance on costly specialized target language labeled data and catastrophic forgetting during adaptation. We tackle this challenge under a realistic, low-r...

多语言与语言学推理强化学习与后训练OpenReview 项目页
作者位次 #5/6ACL 2026Poster· Natural Language Processing

Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional Learning

Maggie Mi · Golzar Atefi · Atsuki Yamaguchi · Felix Gers · Aline Villavicencio · Nafise Sadat Moosavi

摘要

Idioms can be analysed in terms of their decomposability, the extent to which constituent meanings contribute to the figurative whole. Decomposability is thought to predict syntactic flexibility. Usage-based accounts instead attribute idiom behaviour to distributional experience, such as speaker...

可解释性评测与基准数据与预训练OpenReview 项目页

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