Yunlong Liang

Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation

2021 · Proceedings of the AAAI Conference on Artificial Intelligence

The success of emotional conversation systems depends on sufficient perception and appropriate expression of emotions. In a real-world conversation, we firstly instinctively perceive emotions from multi-source information, including the emotion flow of dialogue history, facial …

An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis

2020 · arXiv (Cornell University)

Aspect-based sentiment analysis (ABSA) mainly involves three subtasks: aspect term extraction, opinion term extraction, and aspect-level sentiment classification, which are typically handled in a separate or joint manner. However, previous approaches do not well exploit …

Cross-Lingual Knowledge Editing in Large Language Models

2023 · arXiv (Cornell University)

Knowledge editing aims to change language models' performance on several special cases (i.e., editing scope) by infusing the corresponding expected knowledge into them. With the recent advancements in large language models (LLMs), knowledge editing has …

CM-Align: Consistency-based Multilingual Alignment for Large Language Models

2025 · arXiv (Cornell University)

Current large language models (LLMs) generally show a significant performance gap in alignment between English and other languages. To bridge this gap, existing research typically leverages the model's responses in English as a reference to …

Is ChatGPT a Good NLG Evaluator? A Preliminary Study

2023

Recently, the emergence of ChatGPT has attracted wide attention from the computational linguistics community. Many prior studies have shown that ChatGPT achieves remarkable performance on various NLP tasks in terms of automatic evaluation metrics. However, …