尚煜茗
Distinguished Associate Researcher
Research interests
Information Extraction, Content Security, Knowledge Graphs
Contact
Selected papers (last 5 years)
When Reasoning Leaks Membership: Membership Inference Attack on Black-box Large Reasoning Models
The Web Conference (WWW), 2026
TruthfulRAG: Resolving Factual-level Conflicts in Retrieval-Augmented Generation with Knowledge Graphs
AAAI Conference on Artificial Intelligence, 2026
Discovering new intents via spatio-temporal pseudo-label denoising
Information Processing & Management, 2026
Automated Detection of Pre-training Text in Black-box LLMs
International Joint Conference on Artificial Intelligence, 2025
SCCD: A session-based dataset for Chinese cyberbullying detection
International Conference on Computational Linguistics, 2025
Jailbench: A comprehensive chinese security assessment benchmark for large language models
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2025
From local to global: Leveraging document graph for named entity recognition
Knowledge-Based Systems, 2025
Multi-Modal Relation Extraction Enhanced by Out-of-Text Visual Information
IEEE Transactions on Audio, Speech and Language Processing, 2025
Bayesian Network-Based Adaptive Prompt Learning for Emotion-Cause Pair Extraction
CCF International Conference on Natural Language Processing and Chinese Computing, 2025
Evidence retrieval is almost all you need for fact verification
Findings of the Association for Computational Linguistics, 2024
Span graph transformer for document-level named entity recognition
AAAI Conference on Artificial Intelligence, 2024
HCUKE: A Hierarchical Context-aware approach for Unsupervised Keyphrase Extraction
Knowledge-Based Systems, 2024
Don’t Be Misled by Emotion! Disentangle Emotions and Semantics for Cross-Language and Cross-Domain Rumor Detection
IEEE Transactions on Big Data, 2023
Enhanced CGSN System for Machine Reading Comprehension
Natural Language Processing and Chinese Computing, 2023
Clean-label poisoning attack against fake news detection models
IEEE International Conference on Big Data, 2023