Publications

My papers can also be found on my Semantic Scholar profile and Google Scholar profile.

Published papers

• FEEL: A Framework for Evaluating Emotional Support Capability with Large Language Models

  Huaiwen Zhang, Yu Chen, Ming Wang, Shi Feng

  International Conference on Intelligent Computing, 2024. [CCF C] [PDF] [GitHub]

• Generative Link Tree: A Counterfactual Explanation Generation Approach with High Data Fidelity

  Ming Wang, Wenfang Wu, Daling Wang, Shi Feng, Yifei Zhang

  Computer Science, 2022. [CCF T2] [PDF]

Working Papers

• Is Mamba Effective for Time Series Forecasting?

  Zihan Wang, Fanheng Kong, Shi Feng, Ming Wang, Han Zhao, Daling Wang, Yifei Zhang

  arXiv, 2024. [e-print] [PDF] [GitHub]

• LangGPT: Rethinking Structured Reusable Prompt Design Framework for LLMs from the Programming Language

  Ming Wang, Yuanzhong Liu, Xiaoming Zhang, Songlian Li, Yijie Huang, Chi Zhang, Daling Wang, Shi Feng, Jigang Li

  arXiv, 2024. [e-print] [PDF] [GitHub]

• MM-BigBench: Evaluating Multimodal Models on Multimodal Content Comprehension Tasks

  Xiaocui Yang, Wenfang Wu, Shi Feng, Ming Wang, Daling Wang, Yang Li, Qi Sun, Yifei Zhang, Xiaoming Fu, Soujanya Poria

  arXiv, 2023. [e-print] [PDF] [GitHub]

• T-COL: Generating Counterfactual Explanations for General User Preferences on Variable Machine Learning Systems

  Ming Wang, Wenfang Wu, Daling Wang, Shi Feng, Yifei Zhang

  arXiv, 2023. [e-print] [PDF] [GitHub]

• RoCar: A Relationship Network-based Evaluation Method to Large Language Models

  Ming Wang, Wenfang Wu, Chongyun Gao, Daling Wang, Shi Feng, Yifei Zhang

  arXiv, 2023. [e-print] [PDF] [GitHub]