4 citations · 4 across the 4 of their papers we have counts for
4 papers · 1 filter
SWAA: Sliding Window Attention Adaptation for Efficient and Quality Preserving Long Context Processing
Yijiong Yu, Jiale Liu, Qingyun Wu +2
The quadratic complexity of self attention in Transformer based LLMs renders long context inference prohibitively expensive. While Sliding Window Attention (SWA), the simplest spar…
OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training
Yijiong Yu, Ziyun Dai, Zekun Wang +3
Large language models (LLMs) have demonstrated remarkable capabilities, but their success heavily relies on the quality of pretraining corpora. For Chinese LLMs, the scarcity of hi…
Long-context Language Models Fail in Basic Retrieval Tasks Without Sufficient Reasoning Steps
Yijiong Yu, Yongfeng Huang, Zhixiao Qi +4
Long-context language models (LCLMs), characterized by their extensive context window, are becoming popular. However, despite the fact that they are nearly perfect at standard long…
Subjective Bias in Abstractive Summarization
Lei Li, Wei Liu, Marina Litvak +4
Due to the subjectivity of the summarization, it is a good practice to have more than one gold summary for each training document. However, many modern large-scale abstractive summ…