Zhiruo Wang - RankMe

31 papers A* 10Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Towards Unobtrusive Physical AI: Augmenting Everyday Objects with Intelligence and Robotic Movement for Proactive Assistance. UIST Violet Yinuo Han, Jesse T. Gonzalez, Christina Yang, Zhiruo Wang, Scott E. Hudson, Alexandra Ion
2024	A*	`conf`	ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness? EMNLP Siddhant Waghjale, Vishruth Veerendranath, Zhiruo Wang, Daniel Fried
2024	A*	`conf`	Large Language Models for Tabular Data: Progresses and Future Directions. SIGIR Haoyu Dong, Zhiruo Wang
2024	J	`jnl`	RAGGED: Towards Informed Design of Retrieval Augmented Generation Systems. CoRR Jennifer Hsia, Afreen Shaikh, Zhiruo Wang, Graham Neubig
2024	A*	`conf`	TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks. ICML Zhiruo Wang, Graham Neubig, Daniel Fried
2024	J	`jnl`	TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks. CoRR Zhiruo Wang, Daniel Fried, Graham Neubig
2024	J	`jnl`	What Are Tools Anyway? A Survey from the Language Model Perspective. CoRR Zhiruo Wang, Zhoujun Cheng, Hao Zhu, Daniel Fried, Graham Neubig
2023	A*	`conf`	API-Assisted Code Generation for Question Answering on Varied Table Structures. EMNLP Yihan Cao, Shuyi Chen, Ryan Liu, Zhiruo Wang, Daniel Fried
2023	J	`jnl`	API-Assisted Code Generation for Question Answering on Varied Table Structures. CoRR Yihan Cao, Shuyi Chen, Ryan Liu, Zhiruo Wang, Daniel Fried
2023	—	`conf`	Execution-Based Evaluation for Open-Domain Code Generation. EMNLP (Findings) Zhiruo Wang, Shuyan Zhou, Daniel Fried, Graham Neubig
2023	J	`jnl`	Improving Factuality of Abstractive Summarization via Contrastive Reward Learning. CoRR I-Chun Chern, Zhiruo Wang, Sanjan Das, Bhavuk Sharma, Pengfei Liu, Graham Neubig
2023	J	`jnl`	Learning to Filter Context for Retrieval-Augmented Generation. CoRR Zhiruo Wang, Jun Araki, Zhengbao Jiang, Md. Rizwan Parvez, Graham Neubig
2023	—	`conf`	MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages. EACL (Findings) Zhiruo Wang, Grace Cuenca, Shuyan Zhou, Frank F. Xu, Graham Neubig
2023	A*	`conf`	SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. NeurIPS 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
2023	J	`jnl`	SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. CoRR 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
2023	J	`jnl`	StarCoder: may the source be with you! CoRR 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
2023	J	`jnl`	StarCoder: may the source be with you! Trans. Mach. Learn. Res. 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
2022	J	`jnl`	Execution-Based Evaluation for Open-Domain Code Generation. CoRR Zhiruo Wang, Shuyan Zhou, Daniel Fried, Graham Neubig
2022	—	`conf`	HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation. ACL (1) Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
2022	J	`jnl`	MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages. CoRR Zhiruo Wang, Grace Cuenca, Shuyan Zhou, Frank F. Xu, Graham Neubig
2022	A*	`conf`	Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. EMNLP Zhengbao Jiang, Luyu Gao, Zhiruo Wang, Jun Araki, Haibo Ding, Jamie Callan, Graham Neubig
2022	J	`jnl`	Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer. CoRR Zhengbao Jiang, Luyu Gao, Jun Araki, Haibo Ding, Zhiruo Wang, Jamie Callan, Graham Neubig
2022	J	`jnl`	Table Retrieval May Not Necessitate Table-specific Model Design. CoRR Zhiruo Wang, Zhengbao Jiang, Eric Nyberg, Graham Neubig
2021	J	`jnl`	HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation. CoRR Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
2021	A*	`conf`	TUTA: Tree-based Transformers for Generally Structured Table Pre-training. KDD Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang
2020	A*	`conf`	FastBERT: a Self-distilling BERT with Adaptive Inference Time. ACL Weijie Liu, Peng Zhou, Zhiruo Wang, Zhe Zhao, Haotang Deng, Qi Ju
2020	J	`jnl`	FastBERT: a Self-distilling BERT with Adaptive Inference Time. CoRR Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Haotang Deng, Qi Ju
2020	J	`jnl`	Intrinsic Knowledge Evaluation on Chinese Language Models. CoRR Zhiruo Wang, Renfen Hu
2020	A*	`conf`	K-BERT: Enabling Language Representation with Knowledge Graph. AAAI Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang
2020	J	`jnl`	Structure-aware Pre-training for Table Understanding with Tree-based Transformers. CoRR Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang
2019	J	`jnl`	K-BERT: Enabling Language Representation with Knowledge Graph. CoRR Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang