Daling Wang

EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction Awareness

2020

Generating emotional responses is crucial for building human-like dialogue systems. However, existing studies have focused only on generating responses by controlling the agents' emotions, while the feelings of the users, which are the ultimate concern …

Few-shot Multimodal Sentiment Analysis based on Multimodal Probabilistic Fusion Prompts

2022 · arXiv (Cornell University)

Multimodal sentiment analysis has gained significant attention due to the proliferation of multimodal content on social media. However, existing studies in this area rely heavily on large-scale supervised data, which is time-consuming and labor-intensive to …

Uncertainty estimation for gradient boosting models based on Gaussian graph model and natural gradient

2023

We study the multi-output probability regression prediction and uncertainty quantification problem in multi-output regression prediction with gradient boosting models, and propose an uncertainty estimation method based on Gaussian Graph Model (GMM) constraint and natural gradient. …

Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding

2023

With the evolution of Knowledge Graphs (KGs), new entities emerge which are not seen before. Representation learning of KGs in such an inductive setting aims to capture and transfer the structural patterns from existing entities …

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

2026 · Journal of Artificial Intelligence Research

To address the interpretability challenge in machine learning (ML) systems, counterfactual explanations (CEs) have emerged as a promising solution. CEs are unique as they provide workable suggestions to users, instead of explaining why a certain …