Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, and Text and Document Classification Technologies.
The rise and potential of large language model based agents: a survey
A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook
Clinical study of intelligent tongue diagnosis and oral microbiome for classifying TCM syndromes in MASLD
Revealing emergent human-like conceptual representations from language prediction
CPT: a pre-trained unbalanced transformer for both Chinese language understanding and generation
Deep learning prediction of glycopeptide tandem mass spectra powers glycoproteomics
Application of tongue image characteristics and oral-gut microbiota in predicting pre-diabetes and type 2 diabetes with machine learning
LLatrieval: LLM-Verified Retrieval for Verifiable Generation
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities
ChatGPT: potential, prospects, and limitations
Character-LLM: A Trainable Agent for Role-Playing
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation
Do Large Language Models Know What They Don’t Know?
An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors
Unified Demonstration Retriever for In-Context Learning
SeqXGPT: Sentence-Level AI-Generated Text Detection
Contrast and Generation Make BART a Good Dialogue Emotion Recognizer
Paradigm Shift in Natural Language Processing
KNN-Contrastive Learning for Out-of-Domain Intent Classification
BBTv2: Towards a Gradient-Free Future with Large Language Models
Pre-trained models: Past, present and future
A Unified Generative Framework for Aspect-based Sentiment Analysis
A Unified Generative Framework for Various NER Subtasks
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa
Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing