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Ekapol Chuangsuwanich

ACL 2026×2ECCV 2026评测与基准多语言与语言学可解释性多模态
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0 一作 · 3 篇 · ACL 2026 / ECCV 2026

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2026 顶会论文

3
作者位次 #11/12ACL 2026Poster· Natural Language Processing

SEA - BED : How Do Embedding Models Represent S outheast A sian Languages?

Wuttikorn Ponwitayarat · Peerat Limkonchotiwat · Raymond Ng · Jann Railey Montalan · Thura Aung · Jian Gang Ngui · Yosephine Susanto · William Chandra Tjhi · Panuthep Tasawong · Erik Cambria · Ekapol Chuangsuwanich · Sarana Nutanong

摘要

Multilingual text embeddings are often assumed to encode meaning in a perspective-independent semantic space, yielding stable similarity judgments across tasks and languages. Our results show that this assumption does not hold in practice. We introduce SEA-BED, a large-scale benchmark covering 10...

评测与基准可解释性多语言与语言学OpenReview 项目页
作者位次 #9/9ACL 2026Findings· Findings of ACL

Evaluating Perspectival Biases in Cross-Modal Retrieval

Teerapol Saengsukhiran · Peerawat Chomphooyod · Narabodee Rodjananant · Chompakorn Chaksangchaichot · Patawee Prakrankamanant · Witthawin Sripheanpol · Pak Lovichit · Sarana Nutanong · Ekapol Chuangsuwanich

摘要

Multimodal retrieval systems are expected to operate in a semantic space, agnostic to the language or cultural origin of the query. In practice, however, retrieval outcomes systematically reflect perspectival biases: deviations shaped by linguistic prevalence and cultural associations. We introdu...

多模态评测与基准多语言与语言学OpenReview 项目页

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