🏙️ Works of Guangzhou–Foshan from 2022

4 works · the most cited first · ← Guangzhou–Foshan

1. LayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingACM International Conference on Multimedia (ACM MM)Yupan Huang, Tengchao Lv, Lei Cui, et al.2022 · 774 citations
2. UniXcoder: Unified Cross-Modal Pre-training for Code RepresentationAnnual Meeting of the Association for Computational Linguistics (ACL)Daya Guo, Shuai Lu, Nan Duan, et al.2022 · 768 citations
3. UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical ExpressionConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaqi Chen, Tong Li, Jinghui Qin, et al.2022 · 111 citations
4. Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error CorrectionFindings of the Association for Computational LinguisticsShirong Ma, Yinghui Li, Rongyi Sun, et al.2022 · 59 citations

This page in Markdown → https://md.research.elamur.ai/free/en/agglomerations/guangzhou-foshan/year/2022/