Soft context compression condenses a context into a few memory tokens that a frozen LLM consumes in place of the raw text, but existing compressors fix the compression ratio at training and inference: each deployed ratio requires a separately trained model, and the chosen ratio is applied uniformly to all inputs, whose...
Kai-Yan Zhao, Zhong-Tao Miao, Akiko Aizawa et al.· 1 citation
CSM-MTBench is introduced, a benchmark covering five Chinese-foreign language directions and consisting of two expert-curated subsets: Fun Posts, featuring context-rich, slang- and neologism-heavy content, and Social Snippets, emphasizing concise, emotion- and style- driven expressions.
CNeo-Bench, a benchmark of 4,759 Chinese neologisms with reference definitions, is introduced, organized into five top-level categories and nine subcategories by the linguistic mechanism behind each expression, paired with a two-tier evaluation framework that separates whether a model can describe a neologism from whet...
Kai-Yan Zhao, Zhong-Tao Miao, Zhe-Yong Xie et al.· 0 citations
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