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ORCIDZhiruo Wang
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2020 – today
- 2024
[c12]Siddhant Waghjale, Vishruth Veerendranath, Zhiruo Wang, Daniel Fried:
ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness? EMNLP 2024: 15362-15376- [c11]Zhiruo Wang, Graham Neubig, Daniel Fried:
TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks. ICML 2024 - [c10]Haoyu Dong
, Zhiruo Wang:
Large Language Models for Tabular Data: Progresses and Future Directions. SIGIR 2024: 2997-3000 - [i17]Zhiruo Wang, Daniel Fried, Graham Neubig:
TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks. CoRR abs/2401.12869 (2024) - [i16]Jennifer Hsia, Afreen Shaikh, Zhiruo Wang, Graham Neubig:
RAGGED: Towards Informed Design of Retrieval Augmented Generation Systems. CoRR abs/2403.09040 (2024) - [i15]Zhiruo Wang, Zhoujun Cheng, Hao Zhu, Daniel Fried, Graham Neubig:
What Are Tools Anyway? A Survey from the Language Model Perspective. CoRR abs/2403.15452 (2024) - 2023
- [j2]Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason T. Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries:
StarCoder: may the source be with you! Trans. Mach. Learn. Res. 2023 (2023) - [c9]Zhiruo Wang, Grace Cuenca, Shuyan Zhou, Frank F. Xu, Graham Neubig:
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages. EACL (Findings) 2023: 265-273 - [c8]Zhiruo Wang, Shuyan Zhou, Daniel Fried, Graham Neubig:
Execution-Based Evaluation for Open-Domain Code Generation. EMNLP (Findings) 2023: 1271-1290 - [c7]Yihan Cao, Shuyi Chen, Ryan Liu, Zhiruo Wang, Daniel Fried:
API-Assisted Code Generation for Question Answering on Varied Table Structures. EMNLP 2023: 14536-14548 - [c6]Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin P. Murphy, Alexander G. Hauptmann, Lu Jiang:
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. NeurIPS 2023 - [i14]Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy-Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy V, Jason Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Moustafa-Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, Harm de Vries:
StarCoder: may the source be with you! CoRR abs/2305.06161 (2023) - [i13]Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin Murphy, Alexander G. Hauptmann, Lu Jiang:
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. CoRR abs/2306.17842 (2023) - [i12]I-Chun Chern, Zhiruo Wang, Sanjan Das, Bhavuk Sharma, Pengfei Liu, Graham Neubig:
Improving Factuality of Abstractive Summarization via Contrastive Reward Learning. CoRR abs/2307.04507 (2023) - [i11]Yihan Cao, Shuyi Chen, Ryan Liu, Zhiruo Wang, Daniel Fried:
API-Assisted Code Generation for Question Answering on Varied Table Structures. CoRR abs/2310.14687 (2023) - [i10]Zhiruo Wang, Jun Araki, Zhengbao Jiang, Md. Rizwan Parvez, Graham Neubig:
Learning to Filter Context for Retrieval-Augmented Generation. CoRR abs/2311.08377 (2023) - 2022
- [c5]Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang:
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation. ACL (1) 2022: 1094-1110 - [c4]Zhengbao Jiang, Luyu Gao, Zhiruo Wang, Jun Araki, Haibo Ding, Jamie Callan, Graham Neubig:
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. EMNLP 2022: 2336-2349 - [i9]Zhiruo Wang, Grace Cuenca, Shuyan Zhou, Frank F. Xu, Graham Neubig:
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages. CoRR abs/2203.08388 (2022) - [i8]Zhiruo Wang, Zhengbao Jiang, Eric Nyberg, Graham Neubig:
Table Retrieval May Not Necessitate Table-specific Model Design. CoRR abs/2205.09843 (2022) - [i7]Zhengbao Jiang, Luyu Gao, Jun Araki, Haibo Ding, Zhiruo Wang, Jamie Callan, Graham Neubig:
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. CoRR abs/2212.02027 (2022) - [i6]Zhiruo Wang, Shuyan Zhou, Daniel Fried, Graham Neubig:
Execution-Based Evaluation for Open-Domain Code Generation. CoRR abs/2212.10481 (2022) - 2021
- [j1]Jie Sun, Zhiruo Wang, Xiaoyi Dang, Yang Zhang:
Eye-Tracking Technology in Online Real Estate Rental. Sci. Program. 2021: 8851657:1-8851657:14 (2021) - [c3]Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang:
TUTA: Tree-based Transformers for Generally Structured Table Pre-training. KDD 2021: 1780-1790 - [i5]Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang:
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation. CoRR abs/2108.06712 (2021) - 2020
- [c2]Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang:
K-BERT: Enabling Language Representation with Knowledge Graph. AAAI 2020: 2901-2908 - [c1]Weijie Liu, Peng Zhou, Zhiruo Wang, Zhe Zhao, Haotang Deng, Qi Ju:
FastBERT: a Self-distilling BERT with Adaptive Inference Time. ACL 2020: 6035-6044 - [i4]Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Haotang Deng, Qi Ju:
FastBERT: a Self-distilling BERT with Adaptive Inference Time. CoRR abs/2004.02178 (2020) - [i3]Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang:
Structure-aware Pre-training for Table Understanding with Tree-based Transformers. CoRR abs/2010.12537 (2020) - [i2]Zhiruo Wang, Renfen Hu:
Intrinsic Knowledge Evaluation on Chinese Language Models. CoRR abs/2011.14277 (2020)
2010 – 2019
- 2019
- [i1]Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang:
K-BERT: Enabling Language Representation with Knowledge Graph. CoRR abs/1909.07606 (2019)
Coauthor Index
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