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Related Questions
- What role do contextualized embeddings play in capturing idiomatic language in language models?
- How do newer benchmarking datasets, such as those incorporating social media and online forums, enhance the evaluation of language models for idiomatic language?
- What advancements in transformer architectures have enabled more accurate modeling of idiomatic language in language models?
- How do recent developments in pre-training and fine-tuning strategies impact the performance of language models on idiomatic language tasks?
- What is the relationship between the complexity of idiomatic language and the depth of language models, and how do recent advances in model depth impact performance?
- How do benchmarking efforts for idiomatic language reflect the broader trend of increasing focus on real-world language understanding in AI research?
- What opportunities and challenges arise from applying benchmarking techniques for idiomatic language to other areas of NLP, such as machine translation and text summarization?
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