PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge. - Yun He 001; Zhuoer Wang; Yin Zhang 011; Ruihong Huang; James Caverlee (EMNLP (1), 2020)

Cassava Disease Detection Method Based on EfficientNet. - Fei Gao; Jiming Sa; Zhuoer Wang; Zhongyu Zhao (ICSAI, 2021)

Predicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models. - Jian Wu 006; Rajal Nivargi; Sree Sai Teja Lanka; Arjun Manoj Menon; Sai Ajay Modukuri; Nishanth Nakshatri; Xin Wei; Zhuoer Wang; James Caverlee; Sarah Michele Rajtmajer; C. Lee Giles (CoRR, 2021)

RES: An Interpretable Replicability Estimation System for Research Publications. - Zhuoer Wang; Qizhang Feng; Mohinish Chatterjee; Xing Zhao 003; Yezi Liu; Yuening Li; Abhay Kumar Singh; Frank M. Shipman; Xia Hu 001; James Caverlee (AAAI, 2022)

Faithful Low-Resource Data-to-Text Generation through Cycle Training. - Zhuoer Wang; Marcus D. Collins; Nikhita Vedula; Simone Filice; Shervin Malmasi; Oleg Rokhlenko (ACL (1), 2023)

Designing Interactive Games based on Intangible Cultural Heritage: A Case Study on Chinese Nuo Culture. - Zhuoer Wang; Jingya Li (CCHI, 2023)

Co²PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning. - Xiangjue Dong; Ziwei Zhu 001; Zhuoer Wang; Maria Teleki; James Caverlee (EMNLP (Findings), 2023)

Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model. - Zhuoer Wang; Yicheng Wang; Ziwei Zhu 001; James Caverlee (EMNLP (Findings), 2023)

Co$^2$PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning. - Xiangjue Dong; Ziwei Zhu 001; Zhuoer Wang; Maria Teleki; James Caverlee (CoRR, 2023)

FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking. - Zhuoer Wang; Leonardo F. R. Ribeiro; Alexandros Papangelis; Rohan Mukherjee; Tzu-Yen Wang; Xinyan Zhao; Arijit Biswas; James Caverlee; Angeliki Metallinou (EMNLP (Findings), 2024)

Style Transfer: From Stitching to Neural Networks. - Xinhe Xu; Zhuoer Wang; Yihan Zhang; Yizhou Liu; Zhaoyue Wang; Zhihao Xu; Muhan Zhao; Huaiying Luo (ICBASE, 2024)

DHP Benchmark: Are LLMs Good NLG Evaluators? - Yicheng Wang; Jiayi Yuan 001; Yu-Neng Chuang; Zhuoer Wang; Yingchi Liu; Mark Cusick; Param Kulkarni; Zhengping Ji; Yasser Ibrahim; Xia Hu 001 (CoRR, 2024)

WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback. - Taiwei Shi; Zhuoer Wang; Longqi Yang; Ying-Chun Lin; Zexue He; Mengting Wan; Pei Zhou; Sujay Kumar Jauhar; Xiaofeng Xu; Xia Song; Jennifer Neville (CoRR, 2024)

DHP Benchmark: Are LLMs Good NLG Evaluators? - Yicheng Wang; Jiayi Yuan; Yu-Neng Chuang; Zhuoer Wang; Yingchi Liu; Mark Cusick; Param Kulkarni; Zhengping Ji; Yasser Ibrahim; Xia Hu (NAACL (Findings), 2025)