@article{zhang2025batchspec,title={Batch Speculative Decoding Done Right},author={Zhang, Ranran Haoran and Dey, Soumik and Mishra, Ashirbad and Wu, Hansi and Li, Binbin and Zhang, Rui},journal={arXiv preprint},year={2025},}
ACL
Enhance Multimodal Consistency and Coherence for Text-Image Plan Generation
Xiaoxin Lu, Ranran Haoran Zhang, Yusen Zhang, and 1 more author
In Findings of the Association for Computational Linguistics: ACL 2025, 2025
@inproceedings{lu2025multimodal,title={Enhance Multimodal Consistency and Coherence for Text-Image Plan Generation},author={Lu, Xiaoxin and Zhang, Ranran Haoran and Zhang, Yusen and Zhang, Rui},booktitle={Findings of the Association for Computational Linguistics: ACL 2025},year={2025},}
COLM
VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information
Ryo Kamoi, Yusen Zhang, Sarkar Snigdha Sarathi Das, and 2 more authors
In Proceedings of the Conference on Language Modeling (COLM), 2025
@inproceedings{kamoi2025visonlyqa,title={VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information},author={Kamoi, Ryo and Zhang, Yusen and Das, Sarkar Snigdha Sarathi and Zhang, Ranran Haoran and Zhang, Rui},booktitle={Proceedings of the Conference on Language Modeling (COLM)},year={2025},}
NAACL
From Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning
Ranran Haoran Zhang, Bensu Uçar, Soumik Dey, and 3 more authors
In Findings of the Association for Computational Linguistics: NAACL 2025, 2025
@inproceedings{zhang2025lazytoprolific,title={From Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning},author={Zhang, Ranran Haoran and U\c{c}ar, Bensu and Dey, Soumik and Wu, Hansi and Li, Binbin and Zhang, Rui},booktitle={Findings of the Association for Computational Linguistics: NAACL 2025},year={2025},}
ICCV
HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?
Yusen Zhang, Wenliang Zheng, Aashrith Madasu, and 14 more authors
In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025
@inproceedings{zhang2025hrscene,title={HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?},author={Zhang, Yusen and Zheng, Wenliang and Madasu, Aashrith and Shi, Peng and Kamoi, Ryo and Zhou, Hao and Zou, Zhuoyang and Zhao, Shu and Das, Sarkar Snigdha Sarathi and Gupta, Vipul and Lu, Xiaoxin and Zhang, Nan and Zhang, Ranran Haoran and Iyer, Avitej and Lou, Renze and Yin, Wenpeng and Zhang, Rui},booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},year={2025},}
2024
EMNLP
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
Jiangshu Du, Yibo Wang, Wenting Zhao, and 37 more authors
In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
@inproceedings{du2024llmsassist,title={LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing},author={Du, Jiangshu and Wang, Yibo and Zhao, Wenting and Deng, Zhongfen and Liu, Shuaiqi and Lou, Renze and Zou, Henry Peng and Venkit, Pranav Narayanan and Zhang, Nan and Srinath, Mukund and Zhang, Ranran Haoran and Gupta, Vipul and Li, Yinghui and Li, Tao and Wang, Fei and Liu, Qin and Liu, Tianlin and Gao, Pengzhi and Xia, Congying and Xing, Chen and Cheng, Jiayang and Wang, Zhaowei and Su, Ying and Shah, Raj Sanjay and Guo, Ruohao and Gu, Jing and Li, Haoran and Wei, Kangda and Wang, Zihao and Cheng, Lu and Ranathunga, Surangika and Fang, Meng and Fu, Jie and Liu, Fei and Huang, Ruihong and Blanco, Eduardo and Cao, Yixin and Zhang, Rui and Yu, Philip S. and Yin, Wenpeng},booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP)},year={2024},}
COLM
Evaluating LLMs at Detecting Errors in LLM Responses
Ryo Kamoi, Sarkar Snigdha Sarathi Das, Renze Lou, and 12 more authors
In Proceedings of the Conference on Language Modeling (COLM), 2024
@inproceedings{kamoi2024evaluating,title={Evaluating LLMs at Detecting Errors in LLM Responses},author={Kamoi, Ryo and Das, Sarkar Snigdha Sarathi and Lou, Renze and Ahn, Jihyun Janice and Zhao, Yilun and Lu, Xiaoxin and Zhang, Nan and Zhang, Yusen and Zhang, Ranran Haoran and Vummanthala, Sujeeth Reddy and Dave, Salika and Qin, Shaobo and Cohan, Arman and Yin, Wenpeng and Zhang, Rui},booktitle={Proceedings of the Conference on Language Modeling (COLM)},year={2024},}
2023
Alexa
EvoquerBot: A Multimedia Chatbot Leveraging Synthetic Data for Cross-Domain Assistance
Ranran Haoran Zhang, Parker Sell, Yusen Zhang, and 10 more authors
In Alexa Prize TaskBot Challenge 2 Proceedings, 2023
@inproceedings{zhang2023evoquerbot,title={EvoquerBot: A Multimedia Chatbot Leveraging Synthetic Data for Cross-Domain Assistance},author={Zhang, Ranran Haoran and Sell, Parker and Zhang, Yusen and Che, Liwei and Gao, Allen and K S, Sathiyajith and Bhatt, Rishabh and Nagasubramaniam, Piyush and Vummanthala, Sujeeth and Dave, Salika and Maniar, Harsh and Dasu, Vishnu and Zhang, Rui},booktitle={Alexa Prize TaskBot Challenge 2 Proceedings},year={2023},}
EMNLP
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning
Sarkar Snigdha Sarathi Das, Ranran Haoran Zhang, Peng Shi, and 2 more authors
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
@inproceedings{das2023unified,title={Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning},author={Das, Sarkar Snigdha Sarathi and Zhang, Ranran Haoran and Shi, Peng and Yin, Wenpeng and Zhang, Rui},booktitle={Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)},year={2023},}
EMNLP
Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses
Aysa Xuemo Fan, Ranran Haoran Zhang, Luc Paquette, and 1 more author
In Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
@inproceedings{fan2023codetracing,title={Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses},author={Fan, Aysa Xuemo and Zhang, Ranran Haoran and Paquette, Luc and Zhang, Rui},booktitle={Findings of the Association for Computational Linguistics: EMNLP 2023},year={2023},}
EACL
ConEntail: An Entailment-based Framework for Universal Zero and Few Shot Classification with Supervised Contrastive Pretraining
Ranran Haoran Zhang, Aysa Xuemo Fan, and Rui Zhang
In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
@inproceedings{zhang2023conentail,title={ConEntail: An Entailment-based Framework for Universal Zero and Few Shot Classification with Supervised Contrastive Pretraining},author={Zhang, Ranran Haoran and Fan, Aysa Xuemo and Zhang, Rui},booktitle={Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL)},year={2023},}
2021
NAACL
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation
Qingyun Wang, Manling Li, Xuan Wang, and 22 more authors
In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) - System Demonstrations, 2021
@inproceedings{wang2021covid,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, Ranran Haoran and Liu, Weili and Chauhan, Aabhas and Guan, Yingjun and Li, Bangzheng and Li, Ruisong and Song, Xiangchen and Ji, Heng and Han, Jiawei and Chang, Shih-Fu and Pustejovsky, James and Liem, David and Elsayed, Ahmed and Palmer, Martha and Rah, Jasmine and Schneider, Cynthia and Onyshkevych, Boyan},booktitle={Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) - System Demonstrations},year={2021},}
2020
EMNLP
Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction
Ranran Haoran Zhang*, Qianying Liu*, Aysa Xuemo Fan, and 5 more authors
In Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
@inproceedings{zhang2020minimize,title={Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction},author={Zhang, Ranran Haoran and Liu, Qianying and Fan, Aysa Xuemo and Ji, Heng and Zeng, Daojian and Cheng, Fei and Kawahara, Daisuke and Kurohashi, Sadao},booktitle={Findings of the Association for Computational Linguistics: EMNLP 2020},year={2020},}
AAAI
CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning
Daojian Zeng*, Ranran Haoran Zhang*, and Qianying Liu
In Proceedings of the AAAI Conference on Artificial Intelligence, 2020
@inproceedings{zeng2020copymtl,title={CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning},author={Zeng, Daojian and Zhang, Ranran Haoran and Liu, Qianying},booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},year={2020},}
2019
IEEE
User-oriented paraphrase generation with keywords controlled network
Daojian Zeng, Ranran Haoran Zhang, Lingyun Xiang, and 2 more authors
@article{zeng2019useroriented,title={User-oriented paraphrase generation with keywords controlled network},author={Zeng, Daojian and Zhang, Ranran Haoran and Xiang, Lingyun and Wang, Jin and Ji, Guoliang},journal={IEEE Access},year={2019},}