137 citations · 214 across the 22 of their papers we have counts for
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cs.CL2023
Generative Input: Towards Next-Generation Input Methods Paradigm
Keyu Ding, Yongcan Wang, Zihang Xu +4
Since the release of ChatGPT, generative models have achieved tremendous success and become the de facto approach for various NLP tasks. However, its application in the field of in…
cs.CL2023★ 15 cited
Position: AI Evaluation Should Learn from How We Test Humans
Yan Zhuang, Qi Liu, Zachary A. Pardos +5
As AI systems continue to evolve, their rigorous evaluation becomes crucial for their development and deployment. Researchers have constructed various large-scale benchmarks to det…
cs.CL2023
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training
Yuting Ning, Zhenya Huang, Xin Lin +4
Understanding mathematical questions effectively is a crucial task, which can benefit many applications, such as difficulty estimation. Researchers have drawn much attention to des…