Shi Zong

According to our database, Shi Zong authored at least 21 papers between 2016 and 2024.

Collaborative distances:

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

2024

Categorical Syllogisms Revisited: A Review of the Logical Reasoning Abilities of LLMs for Analyzing Categorical Syllogism.

Shi Zong, Jimmy Lin

CoRR, 2024

Reflections on the Coding Ability of LLMs for Analyzing Market Research Surveys.

Shi Zong, Santosh Kolagati, Amit Chaudhary, Josh Seltzer, Jimmy Lin

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023

SmartProbe: A Virtual Moderator for Market Research Surveys.

Josh Seltzer, Jiahua Pan, Kathy Cheng, Yuxiao Sun, Santosh Kolagati, Jimmy Lin, Shi Zong

CoRR, 2023

Which Model Shall I Choose? Cost/Quality Trade-offs for Text Classification Tasks.

Shi Zong, Josh Seltzer, Jiahua Pan, Kathy Cheng, Jimmy Lin

CoRR, 2023

2022

Music-to-Text Synaesthesia: Generating Descriptive Text from Music Recordings.

Zhihuan Kuang, Shi Zong, Jianbing Zhang, Jiajun Chen, Hongfu Liu

CoRR, 2022

Flipping the Script: Inverse Information Seeking Dialogues for Market Research.

Josh Seltzer, Kathy Cheng, Shi Zong, Jimmy Lin

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ADS-Cap: A Framework for Accurate and Diverse Stylized Captioning with Unpaired Stylistic Corpora.

Kanzhi Cheng, Zheng Ma, Shi Zong, Jianbing Zhang, Xinyu Dai, Jiajun Chen

Proceedings of the Natural Language Processing and Chinese Computing, 2022

Analyzing the Intensity of Complaints on Social Media.

Ming Fang, Shi Zong, Jing Li, Xinyu Dai, Shujian Huang, Jiajun Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

GNN-LM: Language Modeling based on Global Contexts via GNN.

Yuxian Meng, Shi Zong, Xiaoya Li, Xiaofei Sun, Tianwei Zhang, Fei Wu, Jiwei Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

Probing Cross-modal Semantics Alignment Capability from the Textual Perspective.

Zheng Ma, Shi Zong, Mianzhi Pan, Jianbing Zhang, Shujian Huang, Xinyu Dai, Jiajun Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Extracting a Knowledge Base of COVID-19 Events from Social Media.

Shi Zong, Ashutosh Baheti, Wei Xu, Alan Ritter

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Doctor Recommendation in Online Health Forums via Expertise Learning.

Xiaoxin Lu, Yubo Zhang, Jing Li, Shi Zong

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Faster Nearest Neighbor Machine Translation.

Shuhe Wang, Jiwei Li, Yuxian Meng, Rongbin Ouyang, Guoyin Wang, Xiaoya Li, Tianwei Zhang, Shi Zong

CoRR, 2021

2020

Extracting COVID-19 Events from Twitter.

Shi Zong, Ashutosh Baheti, Wei Xu, Alan Ritter

CoRR, 2020

Measuring Forecasting Skill from Text.

Shi Zong, Alan Ritter, Eduard H. Hovy

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media.

Shi Zong, Alan Ritter, Graham Mueller, Evan Wright

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2017

Detecting Localized Categorical Attributes on Graphs.

Siheng Chen, Yaoqing Yang, Shi Zong, Aarti Singh, Jelena Kovacevic

IEEE Trans. Signal Process., 2017

Does Weather Matter?: Causal Analysis of TV Logs.

Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Get to the Bottom: Causal Analysis for User Modeling.

Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Zheng Wen

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

2016

Detecting Structure-correlated Attributes on Graphs.

Siheng Chen, Yaoqing Yang, Shi Zong, Aarti Singh, Jelena Kovacevic

CoRR, 2016

Cascading Bandits for Large-Scale Recommendation Problems.

Shi Zong, Hao Ni, Kenny Sung, Nan Rosemary Ke, Zheng Wen, Branislav Kveton

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016