publications | Ranran Haoran Zhang

2026

arXiv

SiliconBench: Speed, Memory, and Fidelity for LLM Serving on Unified-Memory Desktops

Ranran Haoran Zhang, Aysa X. Fan, David Munhá Correia, and 2 more authors

arXiv:2609.19169, 2026

Under review at NeurIPS 2026 Evaluations & Datasets Track.

@article{zhang2026siliconbench,
  title = {SiliconBench: Speed, Memory, and Fidelity for LLM Serving on Unified-Memory Desktops},
  author = {Zhang, Ranran Haoran and Fan, Aysa X. and Correia, David Munh\'{a} and Cheema, Alex and Zhang, Rui},
  journal = {arXiv:2609.19169},
  year = {2026},
  note = {Under review at NeurIPS 2026 Evaluations \& Datasets Track.},
}

EMNLP

Correctness Forensics for Batch Speculative Decoding: Diagnosing the Ragged Tensor Problem

Ranran Haoran Zhang, Soumik Dey, Ashirbad Mishra, and 3 more authors

In Findings of the Association for Computational Linguistics: EMNLP 2026, 2026

Accepted.

arXiv Bib HTML

@inproceedings{zhang2025batchspec,
  title = {Correctness Forensics for Batch Speculative Decoding: Diagnosing the Ragged Tensor Problem},
  author = {Zhang, Ranran Haoran and Dey, Soumik and Mishra, Ashirbad and Wu, Hansi and Li, Binbin and Zhang, Rui},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2026},
  year = {2026},
  note = {Accepted.},
}

COLM

SIMMER: Benchmarking Latent Failures in LLM Executable Planning with a World Model

Xiaoxin Lu, Ranran Haoran Zhang, and Rui Zhang

In Proceedings of the Conference on Language Modeling (COLM), 2026

Accepted.

arXiv Bib HTML

@inproceedings{lu2026simmer,
  title = {SIMMER: Benchmarking Latent Failures in LLM Executable Planning with a World Model},
  author = {Lu, Xiaoxin and Zhang, Ranran Haoran and Zhang, Rui},
  booktitle = {Proceedings of the Conference on Language Modeling (COLM)},
  year = {2026},
  note = {Accepted.},
}

ACL

Efficient PRM Training Data Synthesis via Formal Verification

Ryo Kamoi, Yusen Zhang, Nan Zhang, and 4 more authors

In Findings of the Association for Computational Linguistics: ACL 2026, 2026

arXiv Bib HTML

@inproceedings{kamoi2026fover,
  title = {Efficient PRM Training Data Synthesis via Formal Verification},
  author = {Kamoi, Ryo and Zhang, Yusen and Zhang, Nan and Das, Sarkar Snigdha Sarathi and Zhang, Ranran Haoran and Yin, Wenpeng and Zhang, Rui},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2026},
  year = {2026},
}

2025

Patent

Key Phrase Generation Using Indefinite Sequence Learning

Soumik Dey, Hansi Wu, Rui Zhang, and 4 more authors

U.S. Patent Application 19/005,475, 2025

Published as US20250322166A1.

Bib HTML

@misc{dey2025keyphrase,
  title = {Key Phrase Generation Using Indefinite Sequence Learning},
  author = {Dey, Soumik and Wu, Hansi and Zhang, Rui and Zhang, Haoran and Li, Binbin and Ucar, Bensu and Cheng, Julie},
  howpublished = {U.S. Patent Application 19/005,475},
  year = {2025},
  note = {Published as US20250322166A1.},
}

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

Bib HTML

@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

arXiv Bib HTML

@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

arXiv Bib HTML

@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

arXiv Bib HTML

@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

arXiv Bib HTML

@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

arXiv Bib HTML

@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

Bib HTML

@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

Bib HTML

@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

Bib HTML

@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

Bib HTML

@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

Best Demo Award arXiv Bib HTML

Best Demo Award

@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 X. Fan, and 5 more authors

In Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Bib HTML

@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 X. 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

arXiv Bib HTML

@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

IEEE Access, 2019

Bib HTML

@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},
}