Papers with multilingual robustness

2 papers
VLURes: Benchmarking Long-Text Grounding and Cross-Lingual Robustness in Vision Language Models (2026.findings-acl)

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Challenge: ***VLURes** provides a practical testbed for long-text grounding and multilingual robustness in web-realistic agent settings.
Approach: They propose a multilingual benchmark for evaluating vision-language models under long-text grounding.
Outcome: ***VLURes** provides a testbed for long-text grounding and multilingual robustness in web-realistic agent settings.
PolitNuggets: Benchmarking Agentic Discovery of Long-Tail Political Facts (2026.acl-long)

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Challenge: Large Reasoning Models (LRMs) are embedded in agentic frameworks and are under-evaluated.
Approach: They propose a multilingual benchmark for agentic information synthesis using PolitNuggets . they standardize evaluation with an optimized Supervisor–Searcher multi-agent system .
Outcome: The proposed model can discover and synthesize "long-tail" facts from dispersed sources.

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