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2020 – today
- 2024
[c6]Chenji Lu, Ge Bai, Shilong Li, Ying Liu, Xiyan Liu, Zerong Zeng, Ruifang Liu:
CausalME: Balancing bi-modalities in Visual Question Answering. ICASSP 2024: 10556-10560- [c5]Shilong Li, Chenji Lu, Ge Bai, Ying Liu, Xiyan Liu, Zhang Zhang, Ruifang Liu:
CDUMA: An Adaptive Approach for Mitigating Confounder for MCQA. ICASSP 2024: 10566-10570 - [c4]Ying Liu, Ge Bai, Chenji Lu, Shilong Li, Zhang Zhang, Ruifang Liu, Wenbin Guo:
Eliminating the Language Bias for Visual Question Answering with fine-grained Causal Intervention. ICME 2024: 1-6 - [c3]Ge Bai, Chenji Lu, Daichi Guo, Shilong Li, Ying Liu, Zhang Zhang, Guanting Dong, Ruifang Liu, Yong Sun:
Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning. NAACL (Short Papers) 2024: 70-78 - [c2]Shilong Li, Ge Bai, Zhang Zhang, Ying Liu, Chenji Lu, Daichi Guo, Ruifang Liu, Yong Sun:
Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction. NAACL (Short Papers) 2024: 79-85 - [i1]Shilong Li, Ge Bai, Zhang Zhang, Ying Liu, Chenji Lu, Daichi Guo, Ruifang Liu, Yong Sun:
Fusion Makes Perfection: An Efficient Multi-Grained Matching Approach for Zero-Shot Relation Extraction. CoRR abs/2406.11429 (2024) - 2023
- [c1]Ge Bai, Chenji Lu, Jiaxiang Geng, Shilong Li, Yidong Shi, Xiyan Liu, Ying Liu, Zhang Zhang, Ruifang Liu:
Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction. EMNLP (Findings) 2023: 10533-10542
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