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…
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification
Junfan Chen, Richong Zhang, Yongyi Mao +1
Few-shot text classification has recently been promoted by the meta-learning paradigm which aims to identify target classes with knowledge transferred from source classes with sets…
Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime
Junfan Chen, Richong Zhang, Zheyan Luo +2
Data augmentation is widely used in text classification, especially in the low-resource regime where a few examples for each class are available during training. Despite the succes…
A Hierarchical N-Gram Framework for Zero-Shot Link Prediction
Mingchen Li, Junfan Chen, Samuel Mensah +3
Due to the incompleteness of knowledge graphs (KGs), zero-shot link prediction (ZSLP) which aims to predict unobserved relations in KGs has attracted recent interest from researche…
Parallel Interactive Networks for Multi-Domain Dialogue State Generation
Junfan Chen, Richong Zhang, Yongyi Mao +1
The dependencies between system and user utterances in the same turn and across different turns are not fully considered in existing multidomain dialogue state tracking (MDST) mode…
Neural Dialogue State Tracking with Temporally Expressive Networks
Junfan Chen, Richong Zhang, Yongyi Mao +1
Dialogue state tracking (DST) is an important part of a spoken dialogue system. Existing DST models either ignore temporal feature dependencies across dialogue turns or fail to exp…
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework
Junfan Chen, Richong Zhang, Yongyi Mao +2
Distant supervision for relation extraction enables one to effectively acquire structured relations out of very large text corpora with less human efforts. Nevertheless, most of th…