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\n  \n 2024\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n \n Evaluation and Enhancement of Semantic Grounding in Large Vision-Language Models.\n \n \n \n \n\n\n \n Jiaying Lu, Jinmeng Rao, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Baochen Sun, Carl Yang, & Jie Yang.\n\n\n \n\n\n\n In AAAI 2024 Workshop on Responsible Language Models, of ReLM'24, February 2024. \n (Spotlight)\n\n\n\n
\n\n\n\n \n \n \"Evaluation arxiv\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 16 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{lu2024EEMSG,\n  title={Evaluation and Enhancement of Semantic Grounding in Large Vision-Language Models},\n  author={Jiaying Lu and Jinmeng Rao and Kezhen Chen and Xiaoyuan Guo and Yawen Zhang and Baochen Sun and Carl Yang and Jie Yang},\n  year={2024},\n  month={February},\n  Series={ReLM'24},\n  Booktitle={AAAI 2024 Workshop on Responsible Language Models},\n  note = {(Spotlight)},\n  url_arXiv  = {https://arxiv.org/abs/2309.04041}\n}\n\n
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\n \n\n \n \n \n \n \n \n LogicPrpBank: A Corpus for Logical Implication and Equivalence.\n \n \n \n \n\n\n \n Zhexiong Liu, Jing Zhang, Jiaying Lu, Wenjing Ma, & Joyce Ho.\n\n\n \n\n\n\n In AAAI 2024 Workshop on AI for Education, of AAAI-AI4ED'24, February 2024. \n \n\n\n\n
\n\n\n\n \n \n \"LogicPrpBank: arxiv\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{liu2024LogicPrp,\n  title={LogicPrpBank: A Corpus for Logical Implication and Equivalence},\n  author={Zhexiong Liu and Jing Zhang and Jiaying Lu and Wenjing Ma and Joyce Ho},\n  Series={AAAI-AI4ED'24},\n  booktitle={AAAI 2024 Workshop on AI for Education},\n  month={February},\n  year={2024},\n  url_arXiv = {https://arxiv.org/abs/2402.09609},\n}\n\n
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\n \n\n \n \n \n \n \n \n Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.\n \n \n \n \n\n\n \n Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl Yang, Yue Cheng, & Liang Zhao.\n\n\n \n\n\n\n arXiv:2401.00625, January 2024.\n \n\n\n\n
\n\n\n\n \n \n \"Beyond arxiv\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{bai2024efficiency,\n      title={Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models},\n      author={Guangji Bai and Zheng Chai and Chen Ling and Shiyu Wang and Jiaying Lu and Nan Zhang and Tingwei Shi and Ziyang Yu and Mengdan Zhu and Yifei Zhang and Carl Yang and Yue Cheng and Liang Zhao},\n      year={2024},\n      month={January},\n      howpublished={arXiv:2401.00625},\n      url_arXiv={https://arxiv.org/abs/2401.00625},\n}\n\n
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\n \n\n \n \n \n \n \n \n Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes.\n \n \n \n \n\n\n \n Darren Liu, Cheng Ding, Delgersuren Bold, Monique Bouvier, Jiaying Lu, Benjamin Shickel, Craig S. Jabaley, Wenhui Zhang, Soojin Park, Michael J. Young, Mark S. Wainwright, Gilles Clermont, Parisa Rashidi, Eric S. Rosenthal, Laurie Dimisko, Ran Xiao, Joo Heung Yoon, Carl Yang, & Xiao Hu.\n\n\n \n\n\n\n arXiv:2401.13588, January 2024.\n \n\n\n\n
\n\n\n\n \n \n \"Evaluation arxiv\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 4 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{liu2024evaluation,\n      title={Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes},\n      author={Darren Liu and Cheng Ding and Delgersuren Bold and Monique Bouvier and Jiaying Lu and Benjamin Shickel and Craig S. Jabaley and Wenhui Zhang and Soojin Park and Michael J. Young and Mark S. Wainwright and Gilles Clermont and Parisa Rashidi and Eric S. Rosenthal and Laurie Dimisko and Ran Xiao and Joo Heung Yoon and Carl Yang and Xiao Hu},\n      year={2024},\n      month={January},\n      howpublished={arXiv:2401.13588},\n      url_arXiv={https://arxiv.org/abs/2401.13588},\n}\n\n
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\n \n\n \n \n \n \n \n \n Uncertainty-Aware Pre-Trained Foundation Models for Patient Risk Prediction via Gaussian Process.\n \n \n \n \n\n\n \n Jiaying Lu, Shifan Zhao, Wenjing Ma, Hui Shao, Xiao Hu, Yuanzhe Xi, & Carl Yang.\n\n\n \n\n\n\n In The ACM Web Conference 2024 (HealthDay Track), of WWW-HealthDay'24, May 2024. \n (MCBIOS'24 Young Scientist Excellence Award (Third-place Winner))\n\n\n\n
\n\n\n\n \n \n \"Uncertainty-Aware paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 15 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{lu2024UaPFM,\n      title={Uncertainty-Aware Pre-Trained Foundation Models for Patient Risk Prediction via Gaussian Process},\n      author={Jiaying Lu and Shifan Zhao and Wenjing Ma and Hui Shao and Xiao Hu and Yuanzhe Xi and Carl Yang},\n      year={2024},\n      month={May},\n      Series = {WWW-HealthDay'24},\n      booktitle={The ACM Web Conference 2024 (HealthDay Track)},\n      note={(MCBIOS'24 Young Scientist Excellence Award (Third-place Winner))},\n      url_Paper={https://lujiaying.github.io/files/preprint24_UQPFM.pdf},\n}\n\n
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\n \n\n \n \n \n \n \n \n Adapting a Generative Pretrained Transformer Achieves SOTA Performance in Assessing Diverse Physiological Functions Using Only Photoplethysmography Signals: A GPT-PPG Approach.\n \n \n \n \n\n\n \n Zhaoliang Chen, Cheng Ding, Nirbhay Modhe, Jiaying Lu, Carl Yang, & Xiao Hu.\n\n\n \n\n\n\n In AAAI 2024 Spring Symposium on Clinical Foundation Models, March 2024. \n \n\n\n\n
\n\n\n\n \n \n \"Adapting paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Chen2024GPT-PPG,\n    title={Adapting a Generative Pretrained Transformer Achieves SOTA Performance in Assessing Diverse Physiological Functions Using Only Photoplethysmography Signals: A GPT-PPG Approach},\n    author={Zhaoliang Chen and Cheng Ding and Nirbhay Modhe and Jiaying Lu and Carl Yang and Xiao Hu},\n    year={2024},\n    month={March},\n    booktitle = {AAAI 2024 Spring Symposium on Clinical Foundation Models},\n    url_Paper = {https://openreview.net/forum?id=hfgdwxbNOW},\n}\n\n
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\n \n\n \n \n \n \n \n PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking.\n \n \n \n\n\n \n Yuzhang Xie, Jiaying Lu, Joyce Ho, Fadi Nahab, Xiao Hu, & Carl Yang.\n\n\n \n\n\n\n In 47th International ACM SIGIR Conference on Research and Development in Information Retrieval - Short Paper, of SIGIR'24, July 2024. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{Xie2024PromptLink,\n  title    = {PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking},\n  author   = {Yuzhang Xie and Jiaying Lu and Joyce Ho and Fadi Nahab and Xiao Hu and Yang, Carl},\n  year     = {2024},\n  month    = {July},\n  Series = {SIGIR'24},\n  Booktitle  = {47th International ACM SIGIR Conference on Research and Development in Information Retrieval - Short Paper},\n}\n
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\n  \n 2023\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n \n Closed-book Question Generation via Contrastive Learning.\n \n \n \n \n\n\n \n Xiangjue Dong, Jiaying Lu, Jianling Wang, & James Caverlee.\n\n\n \n\n\n\n In 17th Conference of the European Chapter of the Association for Computational Linguistics, of EACL'23, May 2023. \n \n\n\n\n
\n\n\n\n \n \n \"Closed-book paper\n  \n \n \n \"Closed-book arxiv\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 12 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{dong2023closed,\n  title    = {Closed-book Question Generation via Contrastive Learning},\n  author   = {Dong, Xiangjue and Jiaying Lu and Wang, Jianling and Caverlee, James},\n  year     = {2023},\n  month    = {May},\n  Series = {EACL'23},\n  Booktitle  = {17th Conference of the European Chapter of the Association for Computational Linguistics},\n  doi={10.18653/v1/2023.eacl-main.230},\n  url_Paper={https://aclanthology.org/2023.eacl-main.230/},\n  url_arXiv = {https://arxiv.org/abs/2210.06781}\n}\n\n\n
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\n \n\n \n \n \n \n \n \n Weakly Supervised Concept Map Generation through Task-Guided Graph Translation.\n \n \n \n \n\n\n \n Jiaying Lu, Xiangjue Dong, & Carl Yang.\n\n\n \n\n\n\n IEEE Transactions on Knowledge and Data Engineering, 35(10): 10871-10883. March 2023.\n \n\n\n\n
\n\n\n\n \n \n \"Weakly paper\n  \n \n \n \"Weakly arxiv\n  \n \n \n \"Weakly code\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 21 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{lu2023gtd2g,\n  author={Jiaying Lu and Dong, Xiangjue and Yang, Carl},\n  journal={IEEE Transactions on Knowledge and Data Engineering},\n  Series = {TKDE'23},\n  title={Weakly Supervised Concept Map Generation through Task-Guided Graph Translation},\n  year={2023},\n  month={March},\n  day={6},\n  volume={35},\n  number={10},\n  pages={10871-10883},\n  doi={10.1109/TKDE.2023.3252588},\n  url_Paper     = {https://doi.org/10.1109/tkde.2023.3252588},\n  url_arXiv     = {https://arxiv.org/abs/2110.15720},\n  url_Code      = {https://github.com/lujiaying/GT-doc2graph}\n}\n\n\n
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\n \n\n \n \n \n \n \n \n Cellcano: supervised cell type identification for single cell ATAC-seq data.\n \n \n \n \n\n\n \n Wenjing Ma, Jiaying Lu, & Hao Wu.\n\n\n \n\n\n\n Nature Communications, 14(1): 1864. April 2023.\n (2023 ASA SSGG Distinguished Student Paper Award)\n\n\n\n
\n\n\n\n \n \n \"Cellcano: paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 5 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{ma2023cellcano,\n  title   = {Cellcano: supervised cell type identification for single cell ATAC-seq data},\n  author  = {Ma, Wenjing and Jiaying Lu and Wu, Hao},\n  journal = {Nature Communications},\n  year    = {2023},\n  month   = {April},\n  day     = {03},\n  volume={14},\n  number={1},\n  pages={1864},\n  issn={2041-1723},\n  doi={10.1038/s41467-023-37439-3},\n  note={(2023 ASA SSGG Distinguished Student Paper Award)},\n  url_Paper={https://doi.org/10.1038/s41467-023-37439-3}\n}\n\n\n
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\n \n\n \n \n \n \n \n \n HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting.\n \n \n \n \n\n\n \n Jiaying Lu, Jiaming Shen, Bo Xiong, Wengjing Ma, Staab Steffen, & Carl Yang.\n\n\n \n\n\n\n In 46th International ACM SIGIR Conference on Research and Development in Information Retrieval - Short Paper, of SIGIR'23, April 2023. \n \n\n\n\n
\n\n\n\n \n \n \"HiPrompt: arxiv\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 38 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{lu2023HiPrompt,\n  title    = {HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting},\n  author   = {Jiaying Lu and Shen, Jiaming and Xiong, Bo and Ma, Wengjing and Staab Steffen and Yang, Carl},\n  year     = {2023},\n  month    = {April},\n  Series = {SIGIR'23},\n  Booktitle  = {46th International ACM SIGIR Conference on Research and Development in Information Retrieval - Short Paper},\n  doi={10.1145/3539618.3591997},\n  url_arXiv  = {https://arxiv.org/abs/2304.05973}\n}\n\n\n
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\n \n\n \n \n \n \n \n \n Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.\n \n \n \n \n\n\n \n Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Tianjiao Zhao, & others.\n\n\n \n\n\n\n arXiv:2305.18703, 2023.\n \n\n\n\n
\n\n\n\n \n \n \"Beyond arxiv\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{ling2023beyond,\n  title={Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models},\n  author={Ling, Chen and Zhao, Xujiang and Jiaying Lu and Deng, Chengyuan and Zheng, Can and Wang, Junxiang and Chowdhury, Tanmoy and Li, Yun and Cui, Hejie and Zhao, Tianjiao and others},\n  howpublished={arXiv:2305.18703},\n  year={2023},\n  url_arXiv  = {https://arxiv.org/abs/2305.18703}\n}\n\n
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\n \n\n \n \n \n \n \n \n A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises.\n \n \n \n \n\n\n \n Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Chen Ling, Joyce Ho, & others.\n\n\n \n\n\n\n In ICML 2023 Workshop on Interpretable Machine Learning in Healthcare, of IMLH@ICML'23, July 2023. \n \n\n\n\n
\n\n\n\n \n \n \"A arxiv\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{cui2023survey,\n  title={A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises},\n  author={Cui, Hejie and Jiaying Lu and Wang, Shiyu and Xu, Ran and Ma, Wenjing and Yu, Shaojun and Yu, Yue and Kan, Xuan and Ling, Chen and Ho, Joyce and others},\n  year={2023},\n  month={July},\n  Series = {IMLH@ICML'23},\n  Booktitle  = {ICML 2023 Workshop on Interpretable Machine Learning in Healthcare},\n  url_arXiv  = {https://arxiv.org/abs/2306.04802}\n}\n\n
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\n \n\n \n \n \n \n \n \n MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields.\n \n \n \n \n\n\n \n Jiaying Lu, Yongchen Qian, Shifan Zhao, Yuanzhe Xi, & Carl Yang.\n\n\n \n\n\n\n In Findings of the Association for Computational Linguistics: EMNLP 2023, of Findings-EMNLP'23, December 2023. \n \n\n\n\n
\n\n\n\n \n \n \"MuG: paper\n  \n \n \n \"MuG: arxiv\n  \n \n \n \"MuG: code\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 24 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{lu2023MuG,\n  title = {MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields},\n  author = {Jiaying Lu and Yongchen Qian and Shifan Zhao and Yuanzhe Xi and Carl Yang},\n  doi = {10.18653/v1/2023.findings-emnlp.354},\n  url_Paper = {https://aclanthology.org/2023.findings-emnlp.354},\n  url_arXiv = {https://arxiv.org/abs/2302.02978},\n  url_Code  = {https://github.com/lujiaying/MUG-Bench},\n  Series = {Findings-EMNLP'23},\n  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2023},\n  month = {December},\n  year = {2023}\n}\n\n
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\n \n\n \n \n \n \n \n \n How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation.\n \n \n \n \n\n\n \n Hejie Cui, Jiaying Lu, Yao Ge, & Carl Yang.\n\n\n \n\n\n\n In 44th European Conference on Information Retrieval - Short Paper, of ECIR'22, April 2022. \n \n\n\n\n
\n\n\n\n \n \n \"How paper\n  \n \n \n \"How arxiv\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 14 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{cui2022docretrieval,\n  title      = {How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation},\n  author     = {Hejie Cui and Jiaying Lu and Yao Ge and Carl Yang},\n  year       = {2022},\n  month      = {April},\n  Booktitle  = {44th European Conference on Information Retrieval - Short Paper},\n  Series     = {ECIR'22},\n  doi = {10.1007/978-3-030-99739-7_9},\n  url_Paper  = {https://dl.acm.org/doi/abs/10.1007/978-3-030-99739-7_9},\n  url_arXiv  = {https://arxiv.org/abs/2201.04672}\n}\n\n\n
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\n \n\n \n \n \n \n \n \n Good, Better, Best: Textual Distractors Generation for Multi-Choice VQA via Policy Gradient.\n \n \n \n \n\n\n \n Jiaying Lu, Xin Ye, Yi Ren, & Yezhou Yang.\n\n\n \n\n\n\n In CVPR 2022 Workshop on Open-Domain Retrieval Under a Multi-Modal Setting, of O-DRUM@CVPR'22, June 2022. \n \n\n\n\n
\n\n\n\n \n \n \"Good, paper\n  \n \n \n \"Good, poster\n  \n \n \n \"Good, arxiv\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 26 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{lu2022good,\n  author     = {Jiaying Lu and\n                Xin Ye and\n                Yi Ren and\n                Yezhou Yang},\n  title      = {Good, Better, Best: Textual Distractors Generation for Multi-Choice\n               {VQA} via Policy Gradient},\n  year       = {2022},\n  month      = {June},\n  Booktitle  = {CVPR 2022 Workshop on Open-Domain Retrieval Under a Multi-Modal Setting},\n  Series = {O-DRUM@CVPR'22},\n  doi={10.1109/CVPRW56347.2022.00539},\n  url_Paper  = {https://openaccess.thecvf.com/content/CVPR2022W/ODRUM/papers/Lu_Good_Better_Best_Textual_Distractors_Generation_for_Multiple-Choice_Visual_Question_CVPRW_2022_paper.pdf},\n  url_Poster = {https://lujiaying.github.io/files/Gobbet_cvpr22_ODrum_poster.pdf},\n  url_arXiv = {https://arxiv.org/abs/1910.09134}\n}\n\n\n
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\n \n\n \n \n \n \n \n \n Open-World Taxonomy and Knowledge Graph Co-Learning.\n \n \n \n \n\n\n \n Jiaying Lu, & Carl Yang.\n\n\n \n\n\n\n In 4th Conference on Automated Knowledge Base Construction, of AKBC'22, November 2022. \n (Presented at KDD-OKN'22 Workshop)\n\n\n\n
\n\n\n\n \n \n \"Open-World paper\n  \n \n \n \"Open-World code\n  \n \n \n \"Open-World poster\n  \n \n \n \"Open-World okn version\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 19 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{lu2022hakeGCN,\n  author     = {Jiaying Lu and\n                Carl Yang},\n  title      = {Open-World Taxonomy and Knowledge Graph Co-Learning},\n  year       = {2022},\n  month      = {November},\n  Booktitle  = {4th Conference on Automated Knowledge Base Construction},\n  Series = {AKBC'22},\n  note = {(Presented at KDD-OKN'22 Workshop)},\n  url_Paper = {https://www.akbc.ws/2022/assets/pdfs/11_open_world_taxonomy_and_knowle.pdf},\n  url_Code = {https://github.com/lujiaying/Open-World-TaxoKG-CoLearning},\n  url_Poster = {https://lujiaying.github.io/files/akbc22_HakeGCN/AKBC22_HakeGCN_poster.pdf},\n  url_OKN_version = {https://lujiaying.github.io/files/akbc22_HakeGCN/KDD_OKN_HakeGCN_paper.pdf}\n}\n\n\n\n
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\n \n\n \n \n \n \n \n \n Evaluation of Unsupervised Entity and Event Salience Estimation.\n \n \n \n \n\n\n \n Jiaying Lu, & Jinho D. Choi.\n\n\n \n\n\n\n In Proceedings of the 34rd International Florida Artificial Intelligence Research Society Conference, of FLAIRS'21, May 2021. \n \n\n\n\n
\n\n\n\n \n \n \"Evaluation paper\n  \n \n \n \"Evaluation arxiv\n  \n \n \n \"Evaluation code\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 37 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@inproceedings{lu2021salience,\n    Author    = {Jiaying Lu and Jinho D. Choi},\n    Booktitle = {Proceedings of the 34rd International Florida Artificial Intelligence Research Society Conference},\n    Keywords  = {salience estimation; entity extraction; event extraction; dependency parsing; heterogeneous graph},\n    Series    = {FLAIRS'21},\n    year      = {2021},\n    month     = {May},\n    Title     = {{Evaluation of Unsupervised Entity and Event Salience Estimation}},\n    doi={10.32473/flairs.v34i1.128482},\n    url_Paper = {https://journals.flvc.org/FLAIRS/article/view/128482/130078},\n    url_arXiv = {https://arxiv.org/abs/2104.06924},\n    url_Code  = {https://github.com/lujiaying/pseudo-ee-salience-estimation}\n}\n\n\n
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