会员服务
文本分类（Text Classification）任务是根据给定文档的内容或主题，自动分配预先定义的类别标签。
Attention-Guided Feature Fusion (AGFF) Model for Integrating Statistical and Semantic Features in News Text Classification
Arxiv
0+阅读 · 11月21日
Text2Graph: Combining Lightweight LLMs and GNNs for Efficient Text Classification in Label-Scarce Scenarios
Arxiv
0+阅读 · 12月12日
LabelFusion: Learning to Fuse LLMs and Transformer Classifiers for Robust Text Classification
Arxiv
0+阅读 · 12月11日
Complementary Learning Approach for Text Classification using Large Language Models
Arxiv
0+阅读 · 12月8日
Learn to Select: Exploring Label Distribution Divergence for In-Context Demonstration Selection in Text Classification
Arxiv
0+阅读 · 11月10日
LLM Teacher-Student Framework for Text Classification With No Manually Annotated Data: A Case Study in IPTC News Topic Classification
Arxiv
0+阅读 · 11月10日
Guiding LLMs to Generate High-Fidelity and High-Quality Counterfactual Explanations for Text Classification
Arxiv
0+阅读 · 12月10日
ProtoSiTex: Learning Semi-Interpretable Prototypes for Multi-label Text Classification
Arxiv
0+阅读 · 10月14日
One Size Does Not Fit All: Exploring Variable Thresholds for Distance-Based Multi-Label Text Classification
Arxiv
0+阅读 · 10月13日
Efficient Prompt Optimisation for Legal Text Classification with Proxy Prompt Evaluator
Efficient Prompt Optimisation for Legal Text Classification with Proxy Prompt Evaluator
Arxiv
0+阅读 · 10月9日
Reasoning for Hierarchical Text Classification: The Case of Patents
Arxiv
0+阅读 · 10月8日
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals
Arxiv
0+阅读 · 6月18日
Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies
Arxiv
0+阅读 · 5月9日
Concept Bottleneck Large Language Models
Concept Bottleneck Large Language Models
Arxiv
0+阅读 · 4月3日
A thorough benchmark of automatic text classification: From traditional approaches to large language models
A thorough benchmark of automatic text classification: From traditional approaches to large language models
Arxiv
0+阅读 · 4月2日
参考链接
微信扫码咨询专知VIP会员
Top