25 citations · 25 across the 3 of their papers we have counts for
4 papers
Rethinking Relation Extraction: Beyond Shortcuts to Generalization with a Debiased Benchmark
Liang He, Yougang Chu, Zhen Wu +3
Benchmarks are crucial for evaluating machine learning algorithm performance, facilitating comparison and identifying superior solutions. However, biases within datasets can lead m…
MixRED: A Mix-lingual Relation Extraction Dataset
Lingxing Kong, Yougang Chu, Zheng Ma +3
Relation extraction is a critical task in the field of natural language processing with numerous real-world applications. Existing research primarily focuses on monolingual relatio…
MORE: A Multimodal Object-Entity Relation Extraction Dataset with a Benchmark Evaluation
Liang He, Hongke Wang, Yongchang Cao +3
Extracting relational facts from multimodal data is a crucial task in the field of multimedia and knowledge graphs that feeds into widespread real-world applications. The emphasis…
Towards Better Chain-of-Thought Prompting Strategies: A Survey
Zihan Yu, Liang He, Zhen Wu +2
Chain-of-Thought (CoT), a step-wise and coherent reasoning chain, shows its impressive strength when used as a prompting strategy for large language models (LLM). Recent years, the…