2 citations · 6 across the 13 of their papers we have counts for
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CLEVA: Toward Comprehensive and Contamination-Free Language Model Evaluation
Yanyang Li, Tin Long Wong, Cheung To Hung +5
Recent advances in large language models (LLMs) have shown significant promise, yet their evaluation raises concerns, particularly regarding data contamination due to the lack of a…
CLEVA: Chinese Language Models EVAluation Platform
Yanyang Li, Jianqiao Zhao, Duo Zheng +8
With the continuous emergence of Chinese Large Language Models (LLMs), how to evaluate a model's capabilities has become an increasingly significant issue. The absence of a compreh…
Towards Unifying Multi-Lingual and Cross-Lingual Summarization
Jiaan Wang, Fandong Meng, Duo Zheng +4
To adapt text summarization to the multilingual world, previous work proposes multi-lingual summarization (MLS) and cross-lingual summarization (CLS). However, these two tasks have…
A Survey on Cross-Lingual Summarization
Jiaan Wang, Fandong Meng, Duo Zheng +4
Cross-lingual summarization is the task of generating a summary in one language (e.g., English) for the given document(s) in a different language (e.g., Chinese). Under the globali…
ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization
Jiaan Wang, Fandong Meng, Ziyao Lu +4
We present ClidSum, a benchmark dataset for building cross-lingual summarization systems on dialogue documents. It consists of 67k+ dialogue documents from two subsets (i.e., SAMSu…
Knowledge Enhanced Sports Game Summarization
Jiaan Wang, Zhixu Li, Tingyi Zhang +5
Sports game summarization aims at generating sports news from live commentaries. However, existing datasets are all constructed through automated collection and cleaning processes,…
Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser
Duo Zheng, Zipeng Xu, Fandong Meng +3
Considering the importance of building a good Visual Dialog (VD) Questioner, many researchers study the topic under a Q-Bot-A-Bot image-guessing game setting, where the Questioner…