2 citations · 4 across the 12 of their papers we have counts for
12 papers
Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective
Haoyang Chen, Richong Zhang, Junfan Chen
Large language models (LLMs) perform in-context learning (ICL) with minimal supervised examples, which benefits various natural language processing (NLP) tasks. One of the critical…
Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing
Zhuoran Li, Chunming Hu, Junfan Chen +2
Word order difference between source and target languages is a major obstacle to cross-lingual transfer, especially in the dependency parsing task. Current works are mostly based o…
A Graph-based Verification Framework for Fact-Checking
Yani Huang, Richong Zhang, Zhijie Nie +2
Fact-checking plays a crucial role in combating misinformation. Existing methods using large language models (LLMs) for claim decomposition face two key limitations: (1) insufficie…
FDLLM: A Dedicated Detector for Black-Box LLMs Fingerprinting
Zhiyuan Fu, Junfan Chen, Lan Zhang +9
Large Language Models (LLMs) are rapidly transforming the landscape of digital content creation. However, the prevalent black-box Application Programming Interface (API) access to…
Progressively Modality Freezing for Multi-Modal Entity Alignment
Yani Huang, Xuefeng Zhang, Richong Zhang +2
Multi-Modal Entity Alignment aims to discover identical entities across heterogeneous knowledge graphs. While recent studies have delved into fusion paradigms to represent entities…
Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching
Zhuoran Li, Chunming Hu, Junfan Chen +3
Code-switching is a data augmentation scheme mixing words from multiple languages into source lingual text. It has achieved considerable generalization performance of cross-lingual…