publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. ArXiv
    Diffusion Language Model Inference with Monte Carlo Tree Search
    Zheng Huang, Kiran Ramnath, Yueyan Chen, and 8 more authors
    ArXiv, 2025
    PDF
  2. ArXiv
    Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation
    Zhichao Xu, Zongyu Wu, Yun Zhou, and 9 more authors
    ArXiv, 2025
    PDF
  3. EMNLP
    SLOT: Structuring the Output of Large Language Models
    Darren Yow-Bang Wang, Zhengyuan Shen, Soumya Smruti Mishra, and 3 more authors
    ArXiv, 2025
    PDF
  4. CSPLADE: Learned Sparse Retrieval with Causal Language Models
    Zhichao Xu, Aosong Feng, Yijun Tian, and 2 more authors
    2025
    PDF
  5. A Systematic Survey of Automatic Prompt Optimization Techniques
    Kiran Ramnath, Kang Zhou, Sheng Guan, and 8 more authors
    2025
    PDF
  6. Enhancing LLM-as-a-judge via Multi-agent Collaboration
    Yiyue Qian, Shinan Zhang, Yun Zhou, and 3 more authors
    2025
    PDF

2022

  1. Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer
    Zhengbao Jiang, Luyu Gao, Zhiruo Wang, and 4 more authors
    In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, Dec 2022
    DOI PDF
  2. Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering
    Zhengbao Jiang, Jun Araki, Haibo Ding, and 1 more author
    In Proceedings of COLING 2022, Dec 2022
    PDF

2021

  1. TACL
    How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering
    Zhengbao Jiang, Jun Araki, Haibo Ding, and 1 more author
    Transactions of the Association for Computational Linguistics, Dec 2021
    DOI PDF
  2. GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition
    Xinyan Zhao, Haibo Ding, and Zhe Feng
    In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL-2021), Dec 2021
    DOI PDF
  3. Weakly Supervised Named Entity Tagging with Learnable Logical Rules
    Jiacheng Li, Haibo Ding, Jingbo Shang, and 2 more authors
    In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Aug 2021
    DOI PDF
  4. Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition
    Pei Chen, Haibo Ding, Jun Araki, and 1 more author
    In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), Aug 2021
    DOI PDF

2020

  1. X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models
    Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, and 2 more authors
    In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2020
    DOI PDF

2019

  1. Improving Human Needs Categorization of Events with Semantic Classification
    Haibo Ding, Ellen Riloff, and Zhe Feng
    In Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019), Jun 2019
    DOI PDF

2018

  1. Human Needs Categorization of Affective Events Using Labeled and Unlabeled Data
    Haibo Ding and Ellen Riloff
    In NAACL 2018, Jun 2018
    DOI PDF
  2. Weakly Supervised Induction of Affective Events by Optimizing Semantic Consistency
    Haibo Ding and Ellen Riloff
    In AAAI 2018, Jun 2018
    DOI PDF
  3. Why is an Event Affective? Classifying Affective Events based on Human Needs
    Haibo Ding, Tianyu Jiang, and Ellen Riloff
    In AAAI Workshop on Affective Content Analysis, Jun 2018
    PDF

2016

  1. Acquiring Knowledge of Affective Events from Blogs Using Label Propagation
    Haibo Ding and Ellen Riloff
    In AAAI-16, Jun 2016
    DOI PDF

2015

  1. Extracting Information about Medication Use from Veterinary Discussions
    Haibo Ding and Ellen Riloff
    In NAACL 2015, Jun 2015
    DOI PDF

2011

  1. The NiuTrans Machine Translation System for NTCIR-9 PatentMT
    Tong Xiao, Qiang Li, Qi Lu, and 8 more authors
    In NTCIR, Jun 2011
    PDF

2010

  1. A Multi-stage Clustering Framework for Chinese Personal Name Disambiguation
    Huizhen Wang, Haibo Ding, Yingchao Shi, and 3 more authors
    In CIPS-SIGHAN Joint Conference on Chinese Language Processing, Jun 2010
    PDF
  2. A Mutil-Stage Clustering Approach to Chinese Person Name Disambiguation
    Haibo Ding, Tong Xiao, and Jingbo Zhu
    In Proceedings of the 6th China National Conference on Information Retrieval (CCIR 2010), Jun 2010
    PDF