Qingyun Wang

According to our database, Qingyun Wang authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MentalArena: Self-play Training of Language Models for Diagnosis and Treatment of Mental Health Disorders.

Cheng Li, May Fung, Qingyun Wang, Chi Han, Manling Li, Jindong Wang, Heng Ji

CoRR, 2024

Self-Correction is More than Refinement: A Learning Framework for Visual and Language Reasoning Tasks.

Jiayi He, Hehai Lin, Qingyun Wang, Yi Fung, Heng Ji

CoRR, 2024

Automating Knowledge Discovery from Scientific Literature via LLMs: A Dual-Agent Approach with Progressive Ontology Prompting.

Yuting Hu, Dancheng Liu, Qingyun Wang, Charles Yu, Heng Ji, Jinjun Xiong

CoRR, 2024

MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents.

Ruochen Li, Teerth Patel, Qingyun Wang, Xinya Du

CoRR, 2024

L+M-24: Building a Dataset for Language + Molecules @ ACL 2024.

Carl Edwards, Qingyun Wang, Lawrence Zhao, Heng Ji

CoRR, 2024

Name Tagging Under Domain Shift via Metric Learning for Life Sciences.

Hongyi Liu, Qingyun Wang, Payam Karisani, Heng Ji

CoRR, 2024

Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences.

Hongyi Liu, Qingyun Wang, Payam Karisani, Heng Ji

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction.

Qingyun Wang, Zixuan Zhang, Hongxiang Li, Xuan Liu, Jiawei Han, Huimin Zhao, Heng Ji

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

SciMON: Scientific Inspiration Machines Optimized for Novelty.

Qingyun Wang, Doug Downey, Heng Ji, Tom Hope

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Learning to Generate Novel Scientific Directions with Contextualized Literature-based Discovery.

Qingyun Wang, Doug Downey, Heng Ji, Tom Hope

CoRR, 2023

Multimedia Generative Script Learning for Task Planning.

Qingyun Wang, Manling Li, Hou Pong Chan, Lifu Huang, Julia Hockenmaier, Girish Chowdhary, Heng Ji

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

A Survey of Knowledge-enhanced Text Generation.

Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang

ACM Comput. Surv., January, 2022

2021

COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation.

Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Yi R. Fung, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, 2021

Stage-wise Fine-tuning for Graph-to-Text Generation.

Qingyun Wang, Semih Yavuz, Xi Victoria Lin, Heng Ji, Nazneen Fatema Rajani

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2020

COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation.

Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych

CoRR, 2020

ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis.

Qingyun Wang, Qi Zeng, Lifu Huang, Kevin Knight, Heng Ji, Nazneen Fatema Rajani

Proceedings of the 13th International Conference on Natural Language Generation, 2020

2019

GAIA at SM-KBP 2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System.

Manling Li, Ying Lin, Ananya Subburathinam, Spencer Whitehead, Xiaoman Pan, Di Lu, Qingyun Wang, Tongtao Zhang, Lifu Huang, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Bo Wu, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Yixiang Yao, Jennifer Chen, Eric Berquist, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Pedro A. Szekely, T. K. Satish Kumar, Arka Sadhu, Ram Nevatia, Miguel E. Rodríguez, Yifan Wang, Yang Bai, Ali Sadeghian, Daisy Zhe Wang

Proceedings of the 2019 Text Analysis Conference, 2019

PaperRobot: Incremental Draft Generation of Scientific Ideas.

Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System.

Tongtao Zhang, Ananya Subburathinam, Ge Shi, Lifu Huang, Di Lu, Xiaoman Pan, Manling Li, Boliang Zhang, Qingyun Wang, Spencer Whitehead, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Ruiqi Zhong, Steven Shao, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Dongyu Li, Xin Huang, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Mayank Kejriwal, Ram Nevatia, Pedro A. Szekely, T. K. Satish Kumar, Ali Sadeghian, Giacomo Bergami, Sourav Dutta, Miguel E. Rodríguez, Daisy Zhe Wang

Proceedings of the 2018 Text Analysis Conference, 2018

Describing a Knowledge Base.

Qingyun Wang, Xiaoman Pan, Lifu Huang, Boliang Zhang, Zhiying Jiang, Heng Ji, Kevin Knight

Proceedings of the 11th International Conference on Natural Language Generation, 2018

Paper Abstract Writing through Editing Mechanism.

Qingyun Wang, Zhihao Zhou, Lifu Huang, Spencer Whitehead, Boliang Zhang, Heng Ji, Kevin Knight

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018