activity
20212026
most citedSubjective Bias in Abstractive Summarization

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Personalizing Mathematical Game-based Learning for Children: A Preliminary Study

Jie Gao, Adam K. Dubé

Game-based learning (GBL) is widely adopted in mathematics education. It enhances learners' engagement and critical thinking throughout the mathematics learning process. However, e…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2024

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…

cs.CL2021★ 4 cited

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…