BAB-QA: A New Neural Model for Emotion Detection in Multi-party Dialogue. - Zilong Wang 002; Zhaohong Wan; Xiaojun Wan 001 (PAKDD (1), 2019)

Exploring Semantic Capacity of Terms. - Jie Huang 009; Zilong Wang 002; Kevin Chang 001; Wen-Mei Hwu; Jinjun Xiong (EMNLP (1), 2020)

DocStruct: A Multimodal Method to Extract Hierarchy Structure in Document for General Form Understanding. - Zilong Wang 002; Mingjie Zhan; Xuebo Liu 001; Ding Liang (EMNLP (Findings), 2020)

TransModality: An End2End Fusion Method with Transformer for Multimodal Sentiment Analysis. - Zilong Wang 002; Zhaohong Wan; Xiaojun Wan 001 (WWW, 2020)

LayoutReader: Pre-training of Text and Layout for Reading Order Detection. - Zilong Wang 002; Yiheng Xu; Lei Cui 001; Jingbo Shang; Furu Wei (EMNLP (1), 2021)

GroupLink: An End-to-end Multitask Method for Word Grouping and Relation Extraction in Form Understanding. - Zilong Wang 002; Mingjie Zhan; Houxing Ren; Zhaohui Hou; Yuwei Wu 006; Xingyan Zhang; Ding Liang (CoRR, 2021)

Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework. - Zilong Wang 002; Jingbo Shang (ACL (Findings), 2022)

Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition. - Zihan Wang 001; Kewen Zhao; Zilong Wang 002; Jingbo Shang (EMNLP (Findings), 2022)

MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding. - Zilong Wang 002; Jiuxiang Gu; Chris Tensmeyer; Nikolaos Barmpalios; Ani Nenkova; Tong Sun 005; Jingbo Shang; Vlad I. Morariu (EMNLP, 2022)

A Benchmark for Structured Extractions from Complex Documents. - Zilong Wang 002; Yichao Zhou 001; Wei Wei 019; Chen-Yu Lee; Sandeep Tata (CoRR, 2022)

Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path. - Zilong Wang 002; Jingbo Shang (EMNLP (Findings), 2023)

VRDU: A Benchmark for Visually-rich Document Understanding. - Zilong Wang 002; Yichao Zhou 001; Wei Wei 019; Chen-Yu Lee; Sandeep Tata (KDD, 2023)

A Study on Robustness and Reliability of Large Language Model Code Generation. - Li Zhong; Zilong Wang 002 (CoRR, 2023)

EmojiLM: Modeling the New Emoji Language. - Letian Peng; Zilong Wang 002; Hang Liu; Zihan Wang 001; Jingbo Shang (CoRR, 2023)

Can LLM Replace Stack Overflow? A Study on Robustness and Reliability of Large Language Model Code Generation. - Li Zhong; Zilong Wang 002 (AAAI, 2024)

Answer is All You Need: Instruction-following Text Embedding via Answering the Question. - Letian Peng; Yuwei Zhang 001; Zilong Wang 002; Jayanth Srinivasa; Gaowen Liu; Zihan Wang 001; Jingbo Shang (ACL (1), 2024)

LMDX: Language Model-based Document Information Extraction and Localization. - Vincent Perot; Kai Kang; Florian Luisier; Guolong Su; Xiaoyu Sun; Ramya Sree Boppana; Zilong Wang 002; Zifeng Wang 002; Jiaqi Mu; Hao Zhang; Chen-Yu Lee; Nan Hua (ACL (Findings), 2024)

Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step. - Li Zhong; Zilong Wang 002; Jingbo Shang (ACL (Findings), 2024)

Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation. - Prashant Krishnan; Zilong Wang 002; Yangkun Wang; Jingbo Shang (LREC/COLING, 2024)

Incubating Text Classifiers Following User Instruction with Nothing but LLM. - Letian Peng; Zilong Wang 002; Jingbo Shang (EMNLP, 2024)

Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding. - Zilong Wang 002; Hao Zhang; Chun-Liang Li; Julian Martin Eisenschlos; Vincent Perot; Zifeng Wang 002; Lesly Miculicich; Yasuhisa Fujii; Jingbo Shang; Chen-Yu Lee; Tomas Pfister (ICLR, 2024)

DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering. - Alex Nguyen 003; Zilong Wang 002; Jingbo Shang; Dheeraj Mekala (NAACL (Demonstrations), 2024)

TableRAG: Million-Token Table Understanding with Language Models. - Si-An Chen; Lesly Miculicich; Julian Eisenschlos; Zifeng Wang 002; Zilong Wang 002; Yanfei Chen; Yasuhisa Fujii; Hsuan-Tien Lin; Chen-Yu Lee; Tomas Pfister (NeurIPS, 2024)

LDB: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step. - Lily Zhong; Zilong Wang 002; Jingbo Shang (CoRR, 2024)

MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Tasks. - Letian Peng; Zilong Wang 002; Feng Yao; Zihan Wang 001; Jingbo Shang (CoRR, 2024)

OfficeBench: Benchmarking Language Agents across Multiple Applications for Office Automation. - Zilong Wang 002; Yuedong Cui; Li Zhong; Zimin Zhang; Da Yin; Bill Yuchen Lin; Jingbo Shang (CoRR, 2024)

Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM's Nest. - Letian Peng; Zilong Wang 002; Feng Yao; Jingbo Shang (ACL (1), 2025)

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. - Zilong Wang 002; Zifeng Wang 002; Long T. Le; Huaixiu Steven Zheng; Swaroop Mishra; Vincent Perot; Yuwei Zhang 001; Anush Mattapalli; Ankur Taly; Jingbo Shang; Chen-Yu Lee; Tomas Pfister (ICLR, 2025)

Memorize or Generalize? Evaluating LLM Code Generation with Evolved Questions. - Wentao Chen; Lizhe Zhang; Li Zhong; Letian Peng; Zilong Wang 002; Jingbo Shang (CoRR, 2025)

The Price of Format: Diversity Collapse in LLMs. - Longfei Yun; Chenyang An; Zilong Wang 002; Letian Peng; Jingbo Shang (CoRR, 2025)

RRO: LLM Agent Optimization Through Rising Reward Trajectories. - Zilong Wang 002; Jingfeng Yang 001; Sreyashi Nag; Samarth Varshney; Xianfeng Tang; Haoming Jiang; Jingbo Shang; Sheikh Muhammad Sarwar (CoRR, 2025)

Training Language Models to Generate Quality Code with Program Analysis Feedback. - Feng Yao; Zilong Wang 002; Liyuan Liu; Junxia Cui; Li Zhong; Xiaohan Fu; Haohui Mai; Vish Krishnan; Jianfeng Gao 001; Jingbo Shang (CoRR, 2025)