Code-switched representations in MLLMs anchor to source grammar frames; source-anchor steering during prefill recovers QA F1 across models and conditions.
Understanding multilingualism in mixture-of-experts llms: Routing mechanism, expert specialization, and layerwise steering
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CL 2years
2026 2representative citing papers
DiM3 is a direction- and magnitude-aware merging method that composes heterogeneous multilingual and multimodal updates in LLM backbones, outperforming baselines on 57-language benchmarks while retaining multimodal performance.
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Code-Switching Reveals Language Anchoring in Multilingual LLMs
Code-switched representations in MLLMs anchor to source grammar frames; source-anchor steering during prefill recovers QA F1 across models and conditions.
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DiM\textsuperscript{3}: Bridging Multilingual and Multimodal Models via Direction- and Magnitude-Aware Merging
DiM3 is a direction- and magnitude-aware merging method that composes heterogeneous multilingual and multimodal updates in LLM backbones, outperforming baselines on 57-language benchmarks while retaining multimodal performance.