Yi Ren Fung bio photo

Yi Ren Fung

I grew up from the Greater Boston area. Currently in Champaign, IL. Passionate about NLP, knowledge reasoning, tech in general, and content creation, while exploring the world.

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My Publications

A growing list of conference publications and demo papers at ACL/EMNLP/ICLR/AAAI/KDD/etc. You can also browse my Google Scholar profile.

Journal Papers

  • R.G. Reddy,Y.R. Fung, Q. Zeng, M. Li, Z. Wang, H. Ji
    SmartBook: AI-Assisted Situation Report Generation
    Under Review (Transactions of CHI), 2024
    [BibTeX] [PDF] [Project Page] 

    @article{reddy2023smartbook,
  title={SmartBook: AI-Assisted Situation Report Generation},
  author={Reddy, Revanth Gangi and Fung, Yi R and Zeng, Qi and Li, Manling and Wang, Ziqi and Sullivan, Paul and others},
  journal={arXiv preprint arXiv:2303.14337},
  year={2023}
}

  • K.H. Huang, H.P. Chan, Y.R. Fung, H. Qiu, S. Joty, M. Zhou, S.F. Chang, H. Ji
    From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models
    In Submission, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
    [BibTeX] [PDF] [Project Page] 

    @misc{huang2024pixels,
      title={From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models}, 
      author={Kung-Hsiang Huang and Hou Pong Chan and Yi R. Fung and Haoyi Qiu and Mingyang Zhou and Shafiq Joty and Shih-Fu Chang and Heng Ji},
      year={2024},
      eprint={2403.12027},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

  • K. Yang, J. Liu, J. Wu, C. Yang, Y.R. Fung, S. Li, Z. Huang, X. Cao, X. Wang, Y. Wang, H. Ji, C. Zhai
    If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents
    Under Review (ACM Computing Survey), 2024.
    [BibTeX] [PDF] [Project Page] 

    @misc{yang2024,
      title={If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents},
      author={Ke Yang, Jiateng Liu, John Wu, Chaoqi Yang, Yi R. Fung, Sha Li, Zixuan Huang, Xu Cao, Xingyao Wang, Yiquan Wang, Heng Ji, Chengxiang Zhai},
      year={2024},
      eprint={2311.09677},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

  • Y. Qin, S. Hu, Y. Lin, W. Chen, N. Ding, ..., Y.R. Fung, ..., J. Phang, T. Wu,H. Ji, Z. Liu, and M. Sun
    Tool Learning with Foundation Models
    Under Review (ACM Computing Survey), 2024.
    [BibTeX] [PDF] [Project Page] 

    @article{qinyj2023,
  title={Tool Learning with Foundation Models},
  author={Qin, Yujia and Shengding, Hu and Lin, Yunkai and Chen, Weize and Ding, Ning and Fung, Yi R. and Phang, Jason and Wu, Tongshuang and Ji, Heng and Liu, Zhiyuan and Sun, Maosong},
  journal={Arxiv},
  year={2023}
}

  • L. Liu, R. Zhao, B. Du, Y.R. Fung, Heng Ji, and H. Tong
    Knowledge Graph Comparative Reasoning for Fact Checking: Problem Definition and Algorithms
    Data Engineering, 2022.
    [BibTeX] [PDF] [Project Page] 

    @article{liu2022,
  title={Knowledge Graph Comparative Reasoning for Fact Checking: Problem Definition and Algorithms},
  author={Liu, Lihui and Zhao, Ruining and Du, Boxin and Fung, Yi Ren and Ji, Heng and Xu, Jiejun and Tong, Hanghang},
  journal={Data Engineering},
  year={2022}
}

Conference Papers

  • Y.R. Fung, R. Zhao, J. Doo, C. Sun, H. Ji
    No Culture Left Behind: Massively Multi-Cultural Knowledge Acquisition & LM Benchmarking on 1000+ Sub-Country Regions and 2000+ Ethnolinguistic Groups
    Under Review, 2024.
    [BibTeX] [PDF] [Project Page] 

    @misc{fung2024,
      title={No Culture Left Behind: Massively Multi-Cultural Knowledge Acquisition & LM Benchmarking on 1000+ Sub-Country Regions and 2000+ Ethnolinguistic Groups},
      author={Yi R. Fung, Ruining Zhao, Jae Doo, Chenkai Sun, Heng Ji},
      year={2024},
      eprint={2402.09369},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

  • K.H. Huang, M. Zhou, H.P. Chan, Y.R. Fung, Z. Wang, L. Zhang, S.F. Chang, H. Ji
    Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning
    Under Review, 2024.
    [BibTeX] [PDF] [Project Page] 

    @misc{huang2024,
      title={Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning},
      author={Kung-Hsiang Huang, Mingyang Zhou, Yi R. Fung, Zhenhailong Wang, Lingyu Zhang, Shih-Fu Chang, Heng Ji},
      year={2023},
      eprint={2312.10160},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

  • C. Sun, Y. Ke, R. Reddy, Y.R. Fung, H.P. Chan, C. Zhai, H. Ji
    Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement
    Under Review, 2024.
    [BibTeX] [PDF] [Project Page] 

    @misc{huang2024,
      title={Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement},
      author={Chenkai Sun, Ke Yang, Revanth Gangi Reddy, Yi Fung, Hou Pong Chan, ChengXiang Zhai, Heng Ji},
      year={2024},
      eprint={2312.10160},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

  • C. Han, J. Xu, M. Li, Y.R. Fung, C. Sun, N. Jiang, T. Abdelzaher, H. Ji
    LM-Switch: Lightweight Language Model Conditioning in Word Embedding Space
    Under Review, 2024.
    [BibTeX] [PDF] [Project Page] 

    @misc{han2023lmswitch,
      title={LM-Switch: Lightweight Language Model Conditioning in Word Embedding Space}, 
      author={Chi Han and Jialiang Xu and Manling Li and Yi Fung and Chenkai Sun and Nan Jiang and Tarek Abdelzaher and Heng Ji},
      year={2023},
      eprint={2305.12798},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

  • S. Polisetty, J. Liu, Y.R. Fung, S.H. Lim, H. Guan, M. Sarafini
    GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism
    Under Review, 2024.
    [BibTeX] [PDF] [Project Page] 

    @article{polisetty2023gsplit,
  title={GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism},
  author={Polisetty, Sandeep and Liu, Juelin and Falus, Kobi and Fung, Yi Ren and Lim, Seung-Hwan and Guan, Hui and Serafini, Marco},
  journal={arXiv preprint arXiv:2303.13775},
  year={2023}
}

  • K. Xuan, L. Yi, F. Yang, R. Wu, Y.R. Fung, H. Ji
    LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge Augmentation
    Under Review, 2024.
    [BibTeX] [PDF] [Project Page] 

    @misc{xuan2024lemma,
      title={LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge Augmentation},
      author={Keyang Xuan and Li Yi and Fan Yang and Ruochen Wu and Yi R. Fung and Heng Ji},
      year={2024},
      eprint={2402.11943},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

  • Y.R. Fung, A. Kumar, A. Galastyan, H. Ji, and P. Natarajan.
    CourtQG: A Case Study of Agenda-driven Question Generation for the Courtroom Domain
    COLING, 2024.
    [BibTeX] [PDF] [Project Page] 

    @misc{fung2024CourtQG,
      title={CourtQG: A Case Study of Agenda-driven Question Generation for the Courtroom Domain},
      author={Yi R. Fung, Anoop Kumar, Aram Galastyan, Heng Ji, and Prem Natarajan.},
      year={2024},
      eprint={2311.09677},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

  • H. Zhang*, S. Diao*, Y. Lin*, Y.R. Fung, Q. Lian, X. Wang, Y. Chen, H. Ji, T. Zhang
    R-Tuning: Teaching Large Language Models to Refuse Unknown Questions
    NAACL, 2024.
    [BibTeX] [PDF] [Project Page] 

    @misc{zhang2023rtuning,
      title={R-Tuning: Teaching Large Language Models to Refuse Unknown Questions},
      author={Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang},
      year={2023},
      eprint={2311.09677},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

  • L. Yuan, Y. Chen, X. Wang, Y.R. Fung, H. Peng, H. Ji
    CRAFT: Customizing LLMS by Creating and Retrieving from Specialized Toolsets
    ICLR, 2024.
    [BibTeX] [PDF] [Project Page] 

    @misc{yuan2023craft,
      title={CRAFT: Customizing LLMS by Creating and Retrieving from Specialized Toolsets},
      author={Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi R Fung, Hao Peng, Heng Ji},
      year={2023},
      eprint={2305.12798},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

  • Y.R. Fung, T. Chakraborty, G. Hao, O. Rambow, S. Muresan, and H. Ji
    NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly
    EMNLP, 2023.
    [BibTeX] [PDF] [Project Page] 

    @article{fung2023,
  title={NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly},
  author={Fung, Yi R. and Chakraborty, Tuhin and Rambow, Owen. and Muresan, Smaranda and Ji, Heng},
  journal={EMNLP},
  year={2023}
}

  • C. Sun, J. Li, Y. R. Fung, H.P. Chan, T. Abdelzaher, C. Zhai, H. Ji
    Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting
    EMNLP, 2023.
    [BibTeX] [PDF] [Project Page] 

    @article{sun2023,
  title={Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting},
  author={Chenkai Sun, Jinning Li, Yi R. Fung, Hou Pong Chan, Tarek Abdelzaher, Chengxiang Zhai, Heng Ji},
  journal={EMNLP},
  year={2023}
}

  • C. Qian, C. Han, Y.R. Fung, Y. Qin, Z. Liu, H. Ji
    CREATOR: Disentangling Abstract and Concrete Reasoning of Large Language Models through Tool Creation
    EMNLP Findings, 2023.
    [BibTeX] [PDF] [Project Page] 

    @article{qian2023creator,
      title={CREATOR: Disentangling Abstract and Concrete Reasonings of Large Language Models through Tool Creation}, 
      author={Cheng Qian and Chi Han and Yi R. Fung and Yujia Qin and Zhiyuan Liu and Heng Ji},
      year={2023},
      journal={ACL Findings}
}

  • S. Li, C. Han, P. Yu, C. Edwards, M. Li, X. Wang, Y.R. Fung, C. Yu, J. Tetreault, E. Hovy, H. Ji
    Defining a New NLP Playground
    EMNLP Findings, 2023.
    [BibTeX] [PDF] [Project Page] 

    @article{Li2023position,
      title={Defining a New NLP Playground},
      author={Sha Li and Chi Han abd Pengfei Yu and Carl Edwards and Manling Li and Xingyao Wang and Yi R. Fung and Charles Yu and Joel R. Tetreault and Eduard H. Hovy and Heng Ji1},
      year={2023},
      journal={ACL Findings}
}

  • M. Zhou, Y.R. Fung, C. Thomas, L. Chen, H. Ji, S.F. Chang
    Enhance Chart Understanding via Visual Language Pre-training on Plot Table Pairs
    ACL Findings, 2023.
    [BibTeX] [PDF] [Project Page] 

    @article{zhou2023,
  title={Enhance Chart Understanding via Visual Language Pre-training on Plot Table Pairs},
  author={Zhou, Mingyang and Fung, Yi and Thomas, Chris and Chen, Long and Ji, Heng and Chang, Shih-fu},
  journal={ACL Findings},
  year={2023}
}

  • Y.R. Fung, H. Wang, T. Wang, P. Natarajan, A. Kebarighotbi, M. Bansal, H. Ji
    DeepMaven: Deep Question Answering on Long-Distance Movie/TV Show Videos with Multimedia Knowledge Extraction and Synthesis
    EACL, 2023.
    [BibTeX] [PDF] [Project Page] 

    @article{fung2023,
  title={DeepMaven: Deep Question Answering on Long-Distance Movie/TV Show Videos with Multimedia Knowledge Extraction and Synthesis},
  author={Fung, Yi and Wang, Han and Wang, Tong and Bansal, Mohit and Ji, Heng},
  journal={EACL},
  year={2023}
}

  • K. Yang, C. Yu, Y.R. Fung, M. Li, and H. Ji
    ADEPT: A DEbiasing PrompT Framework
    AAAI, 2023.
    [BibTeX] [PDF] [Project Page] 

    @article{yang2023,
  title={ADEPT: A DEbiasing PrompT Framework},
  author={Yang, Ke and Yu, Charles and Fung, Yi R. and Li, Manling and Ji, Heng},
  journal={AAAI},
  year={2023}
}

  • R.G. Reddy, S.C. Chinthakindi, Z. Wang, Y.R. Fung, M. Palmer, P. Nakov, and Heng Ji
    NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge
    EMNLP, 2022.
    [BibTeX] [PDF] [Project Page] 

    @article{reddy2021newsclaims,
  title={NewsClaims: A New Benchmark for Claim Detection from News with Background Knowledge},
  author={Reddy, Revanth Gangi and Chinthakindi, Sai and Wang, Zhenhailong and Fung, Yi R and Conger, Kathryn S and Elsayed, Ahmed S and Palmer, Martha and Ji, Heng},
  journal={EMNLP},
  year={2021}
}

  • R.G. Reddy, S.C. Chinthakindi, Y.R. Fung, K. Small, and Heng Ji
    A Zero-Shot Claim Detection Framework using Question Answering
    COLING, 2022.
    [BibTeX] [PDF] [Project Page] 

    @article{reddy2022newsclaimsQA,
  title={A Zero-Shot Claim Detection Framework using Question Answering},
  author={Reddy, Revanth Gangi and Chinthakindi, Sai and Fung, Yi R and Small, Kevin and Ji, Heng},
  journal={COLING},
  year={2022}
}

  • X. Wu, K.H. Huang, Y.R. Fung, Heng Ji
    Cross-document Misinformation Detection based on Event Graph Reasoning
    The North American Chapter of the Association for Computational Linguistics (NAACL) Conference, 2022.
    [BibTeX] [PDF] [Project Page] 

    @inproceedings{wu2022infosurgeon,
  title={Cross-document Misinformation Detection based on Event Graph Reasoning},
  author={Wu, Xueqing and Huang, Kung-Hsiang and Fung, Yi R. and Ji, Heng},
  booktitle={Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT2022)},
  year={2022}
}

  • Y.R. Fung, C. Thomas, R.G. Reddy, S. Polisetty, Heng Ji, S.F. Chang, M. Bansal, and A. Sil
    InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection
    The Association for Computational Linguistics (ACL) Conference, 2021.
    [BibTeX] [PDF] [Project Page] 

    @inproceedings{fung2021infosurgeon,
  title={Infosurgeon: Cross-media fine-grained information consistency checking for fake news detection},
  author={Fung, Yi and Thomas, Christopher and Reddy, Revanth Gangi and Polisetty, Sandeep and Ji, Heng and Chang, Shih-Fu and McKeown, Kathleen and Bansal, Mohit and Sil, Avirup},
  booktitle={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)},
  pages={1683--1698},
  year={2021}
}

  • L. Liu, B. Du, Y.R. Fung, Heng Ji, and H. Tong
    KompaRe: A Knowledge Graph Comparative Reasoning System
    Special Interest Group on Knowledge Discovery and Data Mining(SIGKDD) Conference, 2021.
    [BibTeX] [PDF] [Project Page] 

    @inproceedings{liu2021kompare,
  title={KompaRe: A Knowledge Graph Comparative Reasoning System},
  author={Liu, Lihui and Du, Boxin and Fung, Yi Ren and Ji, Heng and Xu, Jiejun and Tong, Hanghang},
  booktitle={Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery \& Data Mining},
  pages={3308--3318},
  year={2021}
}

  • S.T. Deja, J.Y. Wu, Y.R. Fung, and M. Fiterau
    FLARe: Forecasting by Learning Anticipated Representations
    Machine Learning for Healthcare (MLHC) Conference, 2019.
    [BibTeX] [PDF] [Project Page] 

    @inproceedings{Devara2019,
  author = {S.T. Devarakonda and J.Y. Wu and Y.R. Fung and M. Fiterau},
  title = {FLARe: Forecasting by Learning Anticipated Representations},
  booktitle = {Machine Learning for Healthcare},
  year = {2019}
}

Demo Papers

  • Q.Y. Wang, M. Li, X. Wang, Y. Lin, Y.R. Fung, ..., Heng Ji, J. Han, S.F. Chang, M. Palmer, and C. Voss
    COVID-19 literature knowledge graph construction and drug repurposing report generation
    Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) Best Demo Award, 2021.
    [BibTeX] [PDF] [Project Page] 

    @article{wang2020covid,
  title={COVID-19 literature knowledge graph construction and drug repurposing report generation},
  author={Wang, Qingyun and Li, Manling and Wang, Xuan and Parulian, Nikolaus and Han, Guangxing and Ma, Jiawei and Tu, Jingxuan and Lin, Ying and Zhang, Haoran and Liu, Weili and others},
  journal={arXiv preprint arXiv:2007.00576},
  year={2020}
}

  • H. Wen, Y. Lin, T. Lai, X. Pan, S. Li, X. Lin, M. Li, Y.R. Fung, C. Vondrick, J.Han, D. Roth, S.F. Chang, and Heng Ji
    RESIN: A Dockerlized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System
    Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021.
    [BibTeX] [PDF] [Project Page] 

    @inproceedings{wen2021resin,
  title={RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System},
  author={Wen, Haoyang and Lin, Ying and Lai, Tuan and Pan, Xiaoman and Li, Sha and Lin, Xudong and Zhou, Ben and Li, Manling and Wang, Haoyu and Zhang, Hongming and others},
  booktitle={Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations},
  pages={133--143},
  year={2021}
}

Tutorial and Workshop Papers

  • Y.R. Fung, K.H. Huang, P. Nakov, and H. Ji
    The Battlefront of Combating Misinformation and Coping with Media Bias
    KDD 2022 and AACL 2022 Tutorial, 2022.
    [BibTeX] [PDF] [Project Page] 

    @inproceedings{Fung2022,
  author = {Y.R. Fung and K.H. Huang and P. Nakov and H. Ji},
  title = {The Battlefront of Combating Misinformation and Coping with Media Bias},
  booktitle = {AACL Tutorial},
  year = {2022}
}

  • Y.R. Fung, Z. Guan, R. Kumar, J.Y. Wu and M. Fiterau
    Alzheimers Disease Brain MRI Classification: Challenges and Insights
    IJCAI Workshop on AI for Aging, Rehabilitation and Independent Assisted Living, 2019.
    [BibTeX] [PDF] [Project Page] 

    @inproceedings{Fung2019,
  author = {Y.R. Fung and Z. Guan and J.Y. Wu and M. Fiterau},
  title = {Alzheimers Disease Brain MRI Classification: Challenges and Insights},
  booktitle = {IJCAI Workshop on AI for Aging, Rehabilitation and Independent Assisted Living},
  year = {2019}
}