Yifei Zhang · PaperMetrix

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 …

Ultra-compact nonvolatile photonics based on electrically reprogrammable transparent phase change materials

2021 · arXiv (Cornell University)

Energy-efficient programmable photonic integrated circuits (PICs) are the cornerstone of on-chip classical and quantum optical technologies. Optical phase shifters constitute the fundamental building blocks which enable these programmable PICs. Thus far, carrier modulation and thermo-optical …

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 …

Distilling Large Language Models for Text-Attributed Graph Learning

2024 · arXiv (Cornell University)

Text-Attributed Graphs (TAGs) are graphs of connected textual documents. Graph models can efficiently learn TAGs, but their training heavily relies on human-annotated labels, which are scarce or even unavailable in many applications. Large language models …

Spectrally Pruned Gaussian Fields with Neural Compensation