Specific Works

T-COL

T-COL is a counterfactual explanation generation method. It utilizes a link tree structure to select several local feature subsets through a partitioning strategy, which are eventually stitched together into a counterfactual interpretation.

• URL: https://github.com/sci-m-wang/T-COL
• Paper: T-COL: Generating Counterfactual Explanations for General User Preferences on Variable Machine Learning Systems
• Obligation: Person in Charge

MM-Bigbench

MM-BigBench, with a range of diverse metrics to thoroughly evaluate different models and instructions, including the Best Performance metric, the Mean Relative Gain metric, the Stability metric, and the Adaptability metric.

• URL: https://github.com/declare-lab/MM-BigBench
• Paper: MM-BigBench: Evaluating Multimodal Models on Multimodal Content Comprehension Tasks
• Obligation: Key Participant

PICA

Although traditional language models play a good role in giving help, there is a problem of emotional participation deficiency, since long suggestive replies are against the goal of empathy. To solve the problem, we put forward the multi-turn dialogue model PICA, a chatbot that can empathize and rely on the emotion required.

• URL: https://github.com/NEU-DataMining/PICA
• Obligation: Key Participant

Rocar

Rocking Car is a method for evaluating LLM’s multilevel reasoning ability on graphs using interpersonal relationships. It is named after a Chinese children’s toy.

• URL: https://github.com/NEU-DataMining/RoCar
• Paper: RoCar: A Relationship Network-based Evaluation Method to Large Language Models
• Obligation: Person in Charge

Research Projects

• A Study of Interpretable Dialogue Generation Techniques for Emotion Awareness (No.62172086)
  Student Participant; Funding: ￥600,000
  National Natural Science Foundation of China (NSFC)
  

• Internet of Things Teaching Experiment Box (No.201810217141)
  Person in Charge; Funding: ￥10,000
  National Student Innovation Training Projects
  

• Smart Home System Based on Internet of Things (No.201810217140)
  Key Participants; Funding: ￥15,000
  National Student Innovation Training Projects
  

• Adsorption Type Underwater Hull Surface Inspection Robot (No.201810217024)
  Key Participants; Funding: ￥12,000
  National Student Innovation Training Projects
  

• Ant Travel (No.201810217256)
  Key Participants; Funding: ￥27,000
  National Student Entrepreneurship Training Projects
  

• Indoor Space Optimisation and Beautification System Based on Deep Learning (No.Z-2018-039)
  Person in Charge; Funding: ￥5,000
  Harbin Engineering University Student Innovation Training Projects (Significant type)