K-BERT: Enabling Language Representation with Knowledge Graph. - Weijie Liu 002; Peng Zhou; Zhe Zhao 006; Zhiruo Wang 001; 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 001; Zhe Zhao 006; Haotang Deng; Qi Ju 002 (ACL, 2020)

Structure-aware Pre-training for Table Understanding with Tree-based Transformers. - Zhiruo Wang 001; 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 001; Renfen Hu (CoRR, 2020)

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

HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation. - Zhoujun Cheng; Haoyu Dong 001; Zhiruo Wang 001; 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 001; Jun Araki; Haibo Ding; Jamie Callan; Graham Neubig (EMNLP, 2022)

Table Retrieval May Not Necessitate Table-specific Model Design. - Zhiruo Wang 001; Zhengbao Jiang; Eric Nyberg; Graham Neubig (CoRR, 2022)

MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages. - Zhiruo Wang 001; 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 001; Daniel Fried (EMNLP, 2023)

Execution-Based Evaluation for Open-Domain Code Generation. - Zhiruo Wang 001; Shuyan Zhou; Daniel Fried; Graham Neubig (EMNLP (Findings), 2023)

SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. - Lijun Yu; Yong Cheng 003; Zhiruo Wang 001; 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 001; Sanjan Das; Bhavuk Sharma; Pengfei Liu 003; Graham Neubig (CoRR, 2023)

Learning to Filter Context for Retrieval-Augmented Generation. - Zhiruo Wang 001; 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 033; 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 001; Daniel Fried (EMNLP, 2024)

TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks. - Zhiruo Wang 001; Graham Neubig; Daniel Fried (ICML, 2024)

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

RAGGED: Towards Informed Design of Retrieval Augmented Generation Systems. - Jennifer Hsia; Afreen Shaikh; Zhiruo Wang 001; Graham Neubig (CoRR, 2024)

What Are Tools Anyway? A Survey from the Language Model Perspective. - Zhiruo Wang 001; Zhoujun Cheng; Hao Zhu 011; Daniel Fried; Graham Neubig (CoRR, 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; et al. (CoRR, 2024)

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 (CVPR, 2025)

cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree. - Yilin Zhang; Xinran Zhao; Zora Zhiruo Wang; Chenyang Yang 002; Jiayi Wei; Tongshuang Wu (EMNLP (Findings), 2025)

RAGGED: Towards Informed Design of Scalable and Stable RAG Systems. - Jennifer Hsia; Afreen Shaikh; Zora Zhiruo Wang; Graham Neubig (ICML, 2025)

Agent Workflow Memory. - Zora Zhiruo Wang; Jiayuan Mao; Daniel Fried; Graham Neubig (ICML, 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 (NAACL (System Demonstrations), 2025)

Benchmarking Failures in Tool-Augmented Language Models. - Eduardo Treviño; Hugo Contant; James Ngai; Graham Neubig; Zora Zhiruo Wang (NAACL (Long Papers), 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 (NAACL (Findings), 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 001; Scott E. Hudson; Alexandra Ion (UIST, 2025)

Inducing Programmatic Skills for Agentic Tasks. - Zora Zhiruo Wang; Apurva Gandhi; Graham Neubig; Daniel Fried (CoRR, 2025)

SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills. - Boyuan Zheng 001; Michael Y. Fatemi; Xiaolong Jin; Zora Zhiruo Wang; Apurva Gandhi; Yueqi Song; Yu Gu 016; Jayanth Srinivasa; Gaowen Liu; Graham Neubig; Yu Su 001 (CoRR, 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, 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, 2025)

ToolMem: Enhancing Multimodal Agents with Learnable Tool Capability Memory. - Yunzhong Xiao; Yangmin Li 002; Hewei Wang 001; Yunlong Tang 002; Zora Zhiruo Wang (CoRR, 2025)

TOM-SWE: User Mental Modeling For Software Engineering Agents. - Xuhui Zhou; Valerie Chen; Zora Zhiruo Wang; Graham Neubig; Maarten Sap; Xingyao Wang 002 (CoRR, 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, 2025)

TRUST-CUA: Trustworthy Computer-Using Generalist Agents for Intelligent User Interfaces (Workshop). - Toby Jia-Jun Li; Segev Shlomov; Xiang Deng 001; Ronen I. Brafman; Avi Yaeli; Zora Zhiruo Wang (IUI Companion, 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, 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, 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, 2026)