activity
20212024
most citedLogiGAN: Learning Logical Reasoning via Adversarial Pre-training

7 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models

Xinyu Pi, Mingyuan Wu, Jize Jiang +5

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 adv…

cs.DB2023

S/C: Speeding up Data Materialization with Bounded Memory

Zhaoheng Li, Xinyu Pi, Yongjoo Park

With data pipeline tools and the expressiveness of SQL, managing interdependent materialized views (MVs) are becoming increasingly easy. These MVs are updated repeatedly upon new d…

cs.CL2022

Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation

Xinyu Pi, Bing Wang, Yan Gao +3

The robustness of Text-to-SQL parsers against adversarial perturbations plays a crucial role in delivering highly reliable applications. Previous studies along this line primarily…

cs.CL2022★ 7 cited

LogiGAN: Learning Logical Reasoning via Adversarial Pre-training

Xinyu Pi, Wanjun Zhong, Yan Gao +2

We present LogiGAN, an unsupervised adversarial pre-training framework for improving logical reasoning abilities of language models. Upon automatic identifying logical reasoning ph…

cs.CL2022★ 2 cited

Reasoning Like Program Executors

Xinyu Pi, Qian Liu, Bei Chen +6

Reasoning over natural language is a long-standing goal for the research community. However, studies have shown that existing language models are inadequate in reasoning. To addres…

cs.SI2021

REFORM: Fast and Adaptive Solution for Subteam Replacement

Zhaoheng Li, Xinyu Pi, Mingyuan Wu +1

In this paper, we propose the novel problem of Subteam Replacement: given a team of people embedded in a social network to complete a certain task, and a subset of members - subtea…