A Multi-stage Clustering Framework for Chinese Personal Name Disambiguation. - Huizhen Wang; Haibo Ding; Yingchao Shi; Ji Ma; Xiao Zhou; Jingbo Zhu (CIPS-SIGHAN, 2010)

A reranking method for syntactic parsing with heterogeneous treebanks. - Haibo Ding; Muhua Zhu; Jingbo Zhu (NLPKE, 2010)

The NiuTrans Machine Translation System for NTCIR-9 PatentMT. - Tong Xiao; Qiang Li 022; Qi Lu; Hao Zhang; Haibo Ding; Shujie Yao; Xiaoming Xu; Xiaoxu Fei; Jingbo Zhu; Feiliang Ren; Huizhen Wang (NTCIR, 2011)

Extracting Information about Medication Use from Veterinary Discussions. - Haibo Ding; Ellen Riloff (HLT-NAACL, 2015)

Acquiring Knowledge of Affective Events from Blogs Using Label Propagation. - Haibo Ding; Ellen Riloff (AAAI, 2016)

Why Is an Event Affective? Classifying Affective Events Based on Human Needs. - Haibo Ding; Tianyu Jiang 001; Ellen Riloff (AAAI Workshops, 2018)

Weakly Supervised Induction of Affective Events by Optimizing Semantic Consistency. - Haibo Ding; Ellen Riloff (AAAI, 2018)

Human Needs Categorization of Affective Events Using Labeled and Unlabeled Data. - Haibo Ding; Ellen Riloff (NAACL-HLT, 2018)

Affective Polarity Recognition and Human Needs Categorization for Affective Events. - Haibo Ding (2018)

Improving Human Needs Categorization of Events with Semantic Classification. - Haibo Ding; Ellen Riloff; Zhe Feng 003 (*SEM@NAACL-HLT, 2019)

Learning to Classify Human Needs of Events from Category Definitions with Prototypical Instantiation. - Haibo Ding; Zhe Feng 003 (EMNLP (Findings), 2020)

X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models. - Zhengbao Jiang; Antonios Anastasopoulos; Jun Araki; Haibo Ding; Graham Neubig (EMNLP (1), 2020)

How Can We Know When Language Models Know? - Zhengbao Jiang; Jun Araki; Haibo Ding; Graham Neubig (CoRR, 2020)

Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition. - Pei Chen; Haibo Ding; Jun Araki; Ruihong Huang (ACL/IJCNLP (2), 2021)

Weakly Supervised Named Entity Tagging with Learnable Logical Rules. - Jiacheng Li 003; Haibo Ding; Jingbo Shang; Julian J. McAuley; Zhe Feng 003 (ACL/IJCNLP (1), 2021)

GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition. - Xinyan Zhao; Haibo Ding; Zhe Feng 003 (EACL, 2021)

How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering. - Zhengbao Jiang; Jun Araki; Haibo Ding; Graham Neubig (Trans. Assoc. Comput. Linguistics, 2021)

Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering. - Zhengbao Jiang; Jun Araki; Haibo Ding; Graham Neubig (COLING, 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 (EMNLP, 2022)

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models. - Sangmin Woo; Kang Zhou; Yun Zhou; Shuai Wang; Sheng Guan; Haibo Ding; Lin Lee Cheong (NAACL (Short Papers), 2025)

A Systematic Survey of Automatic Prompt Optimization Techniques. - Kiran Ramnath; Kang Zhou; Sheng Guan; Soumya Smruti Mishra; Xuan Qi; Zhengyuan Shen; Shuai Wang; Sangmin Woo; Sullam Jeoung; Yawei Wang; Haozhu Wang; Han Ding 004; et al. (CoRR, 2025)

CSPLADE: Learned Sparse Retrieval with Causal Language Models. - Zhichao Xu; Aosong Feng; Yijun Tian 006; Haibo Ding; Lin Lee Cheong (CoRR, 2025)

SLOT: Structuring the Output of Large Language Models. - Darren Yow-Bang Wang; Zhengyuan Shen; Soumya Smruti Mishra; Zhichao Xu; Yifei Teng; Haibo Ding (CoRR, 2025)

PromptPrism: A Linguistically-Inspired Taxonomy for Prompts. - Sullam Jeoung; Yueyan Chen; Yi Zhang; Shuai Wang; Haibo Ding; Lin Lee Cheong (CoRR, 2025)