416 citations · 998 across the 25 of their papers we have counts for
44 papers · 1 filter
UniXcoder: Unified Cross-Modal Pre-training for Code Representation
Daya Guo, Shuai Lu, Nan Duan +3
Pre-trained models for programming languages have recently demonstrated great success on code intelligence. To support both code-related understanding and generation tasks, recent…
Reasoning over Hybrid Chain for Table-and-Text Open Domain QA
Wanjun Zhong, Junjie Huang, Qian Liu +4
Tabular and textual question answering requires systems to perform reasoning over heterogeneous information, considering table structure, and the connections among table and text.…
Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese
Zhuosheng Zhang, Hanqing Zhang, Keming Chen +4
Although pre-trained models (PLMs) have achieved remarkable improvements in a wide range of NLP tasks, they are expensive in terms of time and resources. This calls for the study o…
Jointly Learning to Repair Code and Generate Commit Message
Jiaqi Bai, Long Zhou, Ambrosio Blanco +4
We propose a novel task of jointly repairing program codes and generating commit messages. Code repair and commit message generation are two essential and related tasks for softwar…
Discovering Representation Sprachbund For Multilingual Pre-Training
Yimin Fan, Yaobo Liang, Alexandre Muzio +4
Multilingual pre-trained models have demonstrated their effectiveness in many multilingual NLP tasks and enabled zero-shot or few-shot transfer from high-resource languages to low…
From LSAT: The Progress and Challenges of Complex Reasoning
Siyuan Wang, Zhongkun Liu, Wanjun Zhong +4
Complex reasoning aims to draw a correct inference based on complex rules. As a hallmark of human intelligence, it involves a degree of explicit reading comprehension, interpretati…