6 citations · 19 across the 9 of their papers we have counts for
9 papers
PsyPlay: Personality-Infused Role-Playing Conversational Agents
Tao Yang, Yuhua Zhu, Xiaojun Quan +2
The current research on Role-Playing Conversational Agents (RPCAs) with Large Language Models (LLMs) primarily focuses on imitating specific speaking styles and utilizing character…
PsyCoT: Psychological Questionnaire as Powerful Chain-of-Thought for Personality Detection
Tao Yang, Tianyuan Shi, Fanqi Wan +4
Recent advances in large language models (LLMs), such as ChatGPT, have showcased remarkable zero-shot performance across various NLP tasks. However, the potential of LLMs in person…
Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration
Fanqi Wan, Xinting Huang, Tao Yang +3
Instruction-tuning can be substantially optimized through enhanced diversity, resulting in models capable of handling a broader spectrum of tasks. However, existing data employed f…
Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems
Tianyuan Shi, Liangzhi Li, Zijian Lin +3
Efficient knowledge retrieval plays a pivotal role in ensuring the success of end-to-end task-oriented dialogue systems by facilitating the selection of relevant information necess…
Clustering-Aware Negative Sampling for Unsupervised Sentence Representation
Jinghao Deng, Fanqi Wan, Tao Yang +2
Contrastive learning has been widely studied in sentence representation learning. However, earlier works mainly focus on the construction of positive examples, while in-batch sampl…
Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection
Tao Yang, Jinghao Deng, Xiaojun Quan +1
Predicting personality traits based on online posts has emerged as an important task in many fields such as social network analysis. One of the challenges of this task is assemblin…
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning
Tao Yang, Jinghao Deng, Xiaojun Quan +2
Fine-tuning large pre-trained language models on downstream tasks is apt to suffer from overfitting when limited training data is available. While dropout proves to be an effective…
Psycholinguistic Tripartite Graph Network for Personality Detection
Tao Yang, Feifan Yang, Haolan Ouyang +1
Most of the recent work on personality detection from online posts adopts multifarious deep neural networks to represent the posts and builds predictive models in a data-driven man…
-hot Lexicon Embedding-based Two-level LSTM for Sentiment Analysis
Ou Wu, Tao Yang, Mengyang Li +1
Sentiment analysis is a key component in various text mining applications. Numerous sentiment classification techniques, including conventional and deep learning-based methods, hav…