no code implementations • 10 Apr 2025 • Zehan Li, Ruhua Pan, Xinyu Pi
We propose a novel framework for generating causal graphs from narrative texts, bridging high-level causality and detailed event-specific relationships.
no code implementations • 25 Jul 2024 • Xinyu Pi, Mingyuan Wu, Jize Jiang, Haozhen Zheng, Beitong Tian, ChengXiang Zhai, Klara Nahrstedt, Zhiting Hu
Smaller-scale Vision-Langauge Models (VLMs) often claim to perform on par with larger models in general-domain visual grounding and question-answering benchmarks while offering advantages in computational efficiency and storage.
1 code implementation • ACL 2022 • Xinyu Pi, Bing Wang, Yan Gao, Jiaqi Guo, Zhoujun Li, Jian-Guang Lou
The robustness of Text-to-SQL parsers against adversarial perturbations plays a crucial role in delivering highly reliable applications.
1 code implementation • 18 May 2022 • Xinyu Pi, Wanjun Zhong, Yan Gao, Nan Duan, Jian-Guang Lou
We present LogiGAN, an unsupervised adversarial pre-training framework for improving logical reasoning abilities of language models.
1 code implementation • 27 Jan 2022 • Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Qiang Fu, Yan Gao, Jian-Guang Lou, Weizhu Chen
Reasoning over natural language is a long-standing goal for the research community.
Ranked #2 on
Question Answering
on DROP Test
(using extra training data)