Papers with multilingual ability

3 papers
Evaluation of Multilingual Ability to Use Spatial Deictic Expressions in Vision-Language Models (2026.acl-srw)

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Challenge: Existing studies have focused on the ability of vision-language models to utilize spatial deictic expressions, which depend on the situation of utterance.
Approach: They develop a benchmark to evaluate the multilingual ability of VLMs to use spatial deictic expressions in four languages.
Outcome: The proposed models use demonstratives in a different manner from humans, particularly in selecting demonstrative based on distance from the object.
MELA: Multilingual Evaluation of Linguistic Acceptability (2024.acl-long)

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Challenge: Existing benchmarks on linguistic acceptability have been used to evaluate language models' ability to distinguish between acceptable and unacceptable sentences.
Approach: They present the largest benchmark to date on linguistic acceptability: MELA . they establish LLM baselines on this benchmark and investigate cross-lingual transfer in acceptability judgements with XLM-R.
Outcome: The proposed model outperforms open-source models on cross-lingual transfer in acceptability judgements.
Code-Switching Red-Teaming: LLM Evaluation for Safety and Multilingual Understanding (2025.acl-long)

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Challenge: Recent large language models (LLMs) are inherently multilingual agents . concerns regarding their safety have emerged .
Approach: They propose a framework to synthesize red-teaming queries and investigate their safety . they demonstrate that the framework outperforms existing red- teaming techniques .
Outcome: The proposed framework outperforms existing red-teaming techniques in the safety domain . it generates code-switching attack prompts in monolingual data .

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