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Collapsing heterogeneous modalities like tables and images into unified text tokens outperforms specialized modular extractors across multimodal QA benchmarks, despite inevitable information loss during serialization.
Hallucination rates plummet from 31.7% to 6.6% in a new multimodal chatbot that adapts to university stakeholders' complex queries.
A new, high-quality Bangla-English parallel corpus with detailed syntactic and tense annotations unlocks opportunities for linguistically grounded multilingual NLP research.
Forget monolithic transformers: a mixture-of-experts approach can dramatically boost stance detection by adaptively routing inputs to specialized linguistic feature extractors.