Zhiruo Wang

According to our database, Zhiruo Wang authored at least 40 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

How Well Does Agent Development Reflect Real-World Work?

Zora Zhiruo Wang, Sanidhya Vijayvargiya, Aspen Chen, Hanmo Zhang, Venu Arvind Arangarajan, Jett Chen, Valerie Chen, Diyi Yang, Daniel Fried, Graham Neubig

CoRR, March, 2026

Modeling Distinct Human Interaction in Web Agents.

Faria Huq, Zora Zhiruo Wang, Zhanqiu Guo, Venu Arvind Arangarajan, Tianyue Ou, Frank F. Xu, Shuyan Zhou, Graham Neubig, Jeffrey P. Bigham

CoRR, February, 2026

Vision-as-Inverse-Graphics Agent via Interleaved Multimodal Reasoning.

Shaofeng Yin, Jiaxin Ge, Zora Zhiruo Wang, Xiuyu Li, Michael J. Black, Trevor Darrell, Angjoo Kanazawa, Haiwen Feng

CoRR, January, 2026

TRUST-CUA: Trustworthy Computer-Using Generalist Agents for Intelligent User Interfaces (Workshop).

Toby Jia-Jun Li, Segev Shlomov, Xiang Deng, Ronen I. Brafman, Avi Yaeli, Zora Zhiruo Wang

Proceedings of the Companion Proceedings of the 31st International Conference on Intelligent User Interfaces, 2026

2025

How Do AI Agents Do Human Work? Comparing AI and Human Workflows Across Diverse Occupations.

Zora Zhiruo Wang, Yijia Shao, Omar Shaikh, Daniel Fried, Graham Neubig, Diyi Yang

CoRR, October, 2025

TOM-SWE: User Mental Modeling For Software Engineering Agents.

Xuhui Zhou, Valerie Chen, Zora Zhiruo Wang, Graham Neubig, Maarten Sap, Xingyao Wang

CoRR, October, 2025

ToolMem: Enhancing Multimodal Agents with Learnable Tool Capability Memory.

Yunzhong Xiao, Yangmin Li, Hewei Wang, Yunlong Tang, Zora Zhiruo Wang

CoRR, October, 2025

OpenAgentSafety: A Comprehensive Framework for Evaluating Real-World AI Agent Safety.

Sanidhya Vijayvargiya, Aditya Bharat Soni, Xuhui Zhou, Zora Zhiruo Wang, Nouha Dziri, Graham Neubig, Maarten Sap

CoRR, July, 2025

Universal Retrieval for Multimodal Trajectory Modeling.

Xuan Zhang, Ziyan Jiang, Rui Meng, Yifei Leng, Zhenbang Xiao, Zora Zhiruo Wang, Yanyi Shang, Dehan Kong

CoRR, June, 2025

SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills.

Boyuan Zheng, Michael Y. Fatemi, Xiaolong Jin, Zora Zhiruo Wang, Apurva Gandhi, Yueqi Song, Yu Gu, Jayanth Srinivasa, Gaowen Liu, Graham Neubig, Yu Su

CoRR, April, 2025

Inducing Programmatic Skills for Agentic Tasks.

Zora Zhiruo Wang, Apurva Gandhi, Graham Neubig, Daniel Fried

CoRR, April, 2025

Towards Unobtrusive Physical AI: Augmenting Everyday Objects with Intelligence and Robotic Movement for Proactive Assistance.

Violet Yinuo Han, Jesse T. Gonzalez, Christina Yang, Zhiruo Wang, Scott E. Hudson, Alexandra Ion

Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology, 2025

CodeRAG-Bench: Can Retrieval Augment Code Generation?

Zora Zhiruo Wang, Akari Asai, Xinyan Velocity Yu, Frank F. Xu, Yiqing Xie, Graham Neubig, Daniel Fried

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Benchmarking Failures in Tool-Augmented Language Models.

Eduardo Treviño, Hugo Contant, James Ngai, Graham Neubig, Zora Zhiruo Wang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

CowPilot: A Framework for Autonomous and Human-Agent Collaborative Web Navigation.

Faria Huq, Zora Zhiruo Wang, Frank F. Xu, Tianyue Ou, Shuyan Zhou, Jeffrey P. Bigham, Graham Neubig

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Agent Workflow Memory.

Zora Zhiruo Wang, Jiayuan Mao, Daniel Fried, Graham Neubig

Proceedings of the Forty-second International Conference on Machine Learning, 2025

RAGGED: Towards Informed Design of Scalable and Stable RAG Systems.

Jennifer Hsia, Afreen Shaikh, Zora Zhiruo Wang, Graham Neubig

Proceedings of the Forty-second International Conference on Machine Learning, 2025

cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree.

Yilin Zhang, Xinran Zhao, Zora Zhiruo Wang, Chenyang Yang, Jiayi Wei, Tongshuang Wu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

AutoPresent: Designing Structured Visuals from Scratch.

Jiaxin Ge, Zora Zhiruo Wang, Xuhui Zhou, Yi-Hao Peng, Sanjay Subramanian, Qinyue Tan, Maarten Sap, Alane Suhr, Daniel Fried, Graham Neubig, Trevor Darrell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks.

Frank F. Xu, Yufan Song, Boxuan Li, Yuxuan Tang, Kritanjali Jain, Mengxue Bao, Zora Zhiruo Wang, Xuhui Zhou, Zhitong Guo, Murong Cao, Mingyang Yang, Hao Yang Lu, Amaad Martin, Zhe Su, Leander Maben, Raj Mehta, Wayne Chi, Lawrence Keunho Jang, Yiqing Xie, Shuyan Zhou, Graham Neubig

CoRR, 2024

What Are Tools Anyway? A Survey from the Language Model Perspective.

Zhiruo Wang, Zhoujun Cheng, Hao Zhu, Daniel Fried, Graham Neubig

CoRR, 2024

RAGGED: Towards Informed Design of Retrieval Augmented Generation Systems.

Jennifer Hsia, Afreen Shaikh, Zhiruo Wang, Graham Neubig

CoRR, 2024

Large Language Models for Tabular Data: Progresses and Future Directions.

Haoyu Dong, Zhiruo Wang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks.

Zhiruo Wang, Graham Neubig, Daniel Fried

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?

Siddhant Waghjale, Vishruth Veerendranath, Zhiruo Wang, Daniel Fried

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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, 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

Trans. Mach. Learn. Res., 2023

Learning to Filter Context for Retrieval-Augmented Generation.

Zhiruo Wang, Jun Araki, Zhengbao Jiang, Md. Rizwan Parvez, Graham Neubig

CoRR, 2023

Improving Factuality of Abstractive Summarization via Contrastive Reward Learning.

I-Chun Chern, Zhiruo Wang, Sanjan Das, Bhavuk Sharma, Pengfei Liu, Graham Neubig

CoRR, 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, Kevin P. Murphy, Alexander G. Hauptmann, Lu Jiang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Execution-Based Evaluation for Open-Domain Code Generation.

Zhiruo Wang, Shuyan Zhou, Daniel Fried, Graham Neubig

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

API-Assisted Code Generation for Question Answering on Varied Table Structures.

Yihan Cao, Shuyi Chen, Ryan Liu, Zhiruo Wang, Daniel Fried

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages.

Zhiruo Wang, Grace Cuenca, Shuyan Zhou, Frank F. Xu, Graham Neubig

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

Table Retrieval May Not Necessitate Table-specific Model Design.

Zhiruo Wang, Zhengbao Jiang, Eric Nyberg, Graham Neubig

CoRR, 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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation.

Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

TUTA: Tree-based Transformers for Generally Structured Table Pre-training.

Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Intrinsic Knowledge Evaluation on Chinese Language Models.

Zhiruo Wang, Renfen Hu

CoRR, 2020

Structure-aware Pre-training for Table Understanding with Tree-based Transformers.

Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang

CoRR, 2020

FastBERT: a Self-distilling BERT with Adaptive Inference Time.

Weijie Liu, Peng Zhou, Zhiruo Wang, Zhe Zhao, Haotang Deng, Qi Ju

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

K-BERT: Enabling Language Representation with Knowledge Graph.

Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020