K-BERT: Enabling Language Representation with Knowledge Graph. - Weijie Liu 002; Peng Zhou; Zhe Zhao 006; Zhiruo Wang; Qi Ju 002; Haotang Deng; Ping Wang 003 (AAAI, 2020)

FastBERT: a Self-distilling BERT with Adaptive Inference Time. - Weijie Liu 002; Peng Zhou; Zhiruo Wang; Zhe Zhao 006; Haotang Deng; Qi Ju 002 (ACL, 2020)

Structure-aware Pre-training for Table Understanding with Tree-based Transformers. - Zhiruo Wang; Haoyu Dong 001; Ran Jia; Jia Li 012; Zhiyi Fu; Shi Han; Dongmei Zhang 001 (CoRR, 2020)

Intrinsic Knowledge Evaluation on Chinese Language Models. - Zhiruo Wang; Renfen Hu (CoRR, 2020)

TUTA: Tree-based Transformers for Generally Structured Table Pre-training. - Zhiruo Wang; Haoyu Dong 001; Ran Jia; Jia Li 012; Zhiyi Fu; Shi Han; Dongmei Zhang 001 (KDD, 2021)

Eye-Tracking Technology in Online Real Estate Rental. - Jie Sun; Zhiruo Wang; Xiaoyi Dang; Yang Zhang 076 (Sci. Program., 2021)

HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation. - Zhoujun Cheng; Haoyu Dong 001; Zhiruo Wang; Ran Jia; Jiaqi Guo; Yan Gao 002; Shi Han; Jian-Guang Lou; Dongmei Zhang 001 (ACL (1), 2022)

Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. - Zhengbao Jiang; Luyu Gao; Zhiruo Wang; Jun Araki; Haibo Ding; Jamie Callan; Graham Neubig (EMNLP, 2022)

Table Retrieval May Not Necessitate Table-specific Model Design. - Zhiruo Wang; Zhengbao Jiang; Eric Nyberg; Graham Neubig (CoRR, 2022)

MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages. - Zhiruo Wang; Grace Cuenca; Shuyan Zhou; Frank F. Xu; Graham Neubig (EACL (Findings), 2023)

API-Assisted Code Generation for Question Answering on Varied Table Structures. - Yihan Cao; Shuyi Chen; Ryan Liu 001; Zhiruo Wang; Daniel Fried (EMNLP, 2023)

Execution-Based Evaluation for Open-Domain Code Generation. - Zhiruo Wang; Shuyan Zhou; Daniel Fried; Graham Neubig (EMNLP (Findings), 2023)

SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. - Lijun Yu; Yong Cheng; Zhiruo Wang; Vivek Kumar; Wolfgang Macherey; Yanping Huang; David A. Ross; Irfan Essa; Yonatan Bisk; Ming-Hsuan Yang 001; Kevin P. Murphy; Alexander G. Hauptmann; et al. (NeurIPS, 2023)

Improving Factuality of Abstractive Summarization via Contrastive Reward Learning. - I-Chun Chern; Zhiruo Wang; Sanjan Das; Bhavuk Sharma; Pengfei Liu 003; Graham Neubig (CoRR, 2023)

Learning to Filter Context for Retrieval-Augmented Generation. - Zhiruo Wang; Jun Araki; Zhengbao Jiang; Md. Rizwan Parvez; Graham Neubig (CoRR, 2023)

StarCoder: may the source be with you! - Raymond Li; Loubna Ben Allal; Yangtian Zi; Niklas Muennighoff; Denis Kocetkov; Chenghao Mou; Marc Marone; Christopher Akiki; Jia Li 015; Jenny Chim; Qian Liu 012; Evgenii Zheltonozhskii; et al. (Trans. Mach. Learn. Res., 2023)

ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness? - Siddhant Waghjale; Vishruth Veerendranath; Zhiruo Wang; Daniel Fried (EMNLP, 2024)

TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks. - Zhiruo Wang; Graham Neubig; Daniel Fried (ICML, 2024)

Large Language Models for Tabular Data: Progresses and Future Directions. - Haoyu Dong 001; Zhiruo Wang (SIGIR, 2024)

RAGGED: Towards Informed Design of Retrieval Augmented Generation Systems. - Jennifer Hsia; Afreen Shaikh; Zhiruo Wang; Graham Neubig (CoRR, 2024)

What Are Tools Anyway? A Survey from the Language Model Perspective. - Zhiruo Wang; Zhoujun Cheng; Hao Zhu 011; Daniel Fried; Graham Neubig (CoRR, 2024)