Haibo Ding
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
8
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Diffusion Language Model Inference with Monte Carlo Tree Search. | Zheng Huang, Kiran Ramnath, Yueyan Chen, Aosong Feng, Sangmin Woo, Balasubramaniam Srinivasan, Zhichao Xu, Kang Zhou, Shuai Wang, Haibo Ding, Lin Lee Cheong |
| 2026 | EACL | PromptPrism: A Linguistically-Inspired Taxonomy for Prompts. | Sullam Jeoung, Yueyan Chen, Yi Zhang, Shuai Wang, Haibo Ding, Lin Lee Cheong |
| 2026 | EACL | Learning to Ideate for Machine Learning Engineering Agents. | Yunxiang Zhang, Kang Zhou, Zhichao Xu, Kiran Ramnath, Yun Zhou, Sangmin Woo, Haibo Ding, Lin Lee Cheong |
| 2025 | EMNLP | IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs. | Aosong Feng, Balasubramaniam Srinivasan, Yun Zhou, Zhichao Xu, Kang Zhou, Sheng Guan, Yueyan Chen, Xian Wu, Ninad Kulkarni, Yi Zhang, Zhengyuan Shen, Dmitriy Bespalov, Soumya Smruti Mishra, Yifei Teng, Darren Yow-Bang Wang, Haibo Ding, Lin Lee Cheong |
| 2025 | EMNLP | 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, Yuzhe Lu, Zhichao Xu, Yun Zhou, Balasubramaniam Srinivasan, Qiaojing Yan, Yueyan Chen, Haibo Ding, Panpan Xu, Lin Lee Cheong |
| 2025 | EMNLP | SLOT: Structuring the Output of Large Language Models. | Zhengyuan Shen, Darren Yow-Bang Wang, Soumya Smruti Mishra, Zhichao Xu, Yifei Teng, Haibo Ding |
| 2025 | IJCNLP | CSPLADE: Learned Sparse Retrieval with Causal Language Models. | Zhichao Xu, Aosong Feng, Yijun Tian, Haibo Ding, Lin Lee Cheong |
| 2025 | KDD | KDD 2025 Workshop on Prompt Optimization. | Haibo Ding, Shuai Wang, Kiran Ramnath, Yi Zhang, Lin Lee Cheong |
| 2025 | NAACL | 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 |
| 2022 | COLING | Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering. | Zhengbao Jiang, Jun Araki, Haibo Ding, Graham Neubig |
| 2022 | EMNLP | 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 |
| 2021 | ACL | Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition. | Pei Chen, Haibo Ding, Jun Araki, Ruihong Huang |
| 2021 | ACL | Weakly Supervised Named Entity Tagging with Learnable Logical Rules. | Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng |
| 2021 | EACL | GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition. | Xinyan Zhao, Haibo Ding, Zhe Feng |
| 2020 | EMNLP | Learning to Classify Human Needs of Events from Category Definitions with Prototypical Instantiation. | Haibo Ding, Zhe Feng |
| 2020 | EMNLP | X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models. | Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, Haibo Ding, Graham Neubig |
| 2018 | AAAI | Why Is an Event Affective? Classifying Affective Events Based on Human Needs. | Haibo Ding, Tianyu Jiang, Ellen Riloff |
| 2018 | AAAI | Weakly Supervised Induction of Affective Events by Optimizing Semantic Consistency. | Haibo Ding, Ellen Riloff |
| 2018 | NAACL | Human Needs Categorization of Affective Events Using Labeled and Unlabeled Data. | Haibo Ding, Ellen Riloff |
| 2016 | AAAI | Acquiring Knowledge of Affective Events from Blogs Using Label Propagation. | Haibo Ding, Ellen Riloff |
| 2015 | NAACL | Extracting Information about Medication Use from Veterinary Discussions. | Haibo Ding, Ellen Riloff |