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Hierarchical Text Classification (HTC) involves assigning documents to labels organized within a taxonomy.
Hierarchical text classification and evaluation
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Dbpedia: A nucleus for a web of open data
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Hdltex: Hierarchical deep learning for text classification
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Improving language understanding by generative pre-training
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Bert: Pre-training of deep bidirectional transformers for language understanding
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Hierarchical multi-label text classification: An attention-based recurrent network approach
W. Huang, E. Chen, Q. Liu, Y. Chen, Z. Huang, Y. Liu, Z. Zhao, D. Zhang, and S. Wang · 2019
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Roberta: A robustly optimized bert pretraining approach
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Weakly-supervised hierarchical text classification
Y. Meng, J. Shen, C. Zhang, and J. Han · 2019
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Language models are few-shot learners
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, et al · 2020
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Task-aware representation of sentences for generic text classification
K. Halder, A. Akbik, J. Krapac, and R. Vollgraf · 2020
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Dense passage retrieval for open-domain question answering
V. Karpukhin, B. Oguz, S. Min, P. Lewis, L. Wu, S. Edunov, D. Chen, and W.-t. Yih · 2020
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Hierarchical text classification, 2020
Y. Kashnitsky · 2020
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Retrieval-augmented generation for knowledge-intensive nlp tasks
P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W.-t. Yih, T. Rocktäschel, et al · 2020
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Joint learning of hyperbolic label embeddings for hierarchical multi-label classification
S. Chatterjee, A. Maheshwari, G. Ramakrishnan, and S. N. Jagarlapudi · 2021
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Hierarchy-aware label semantics matching network for hierarchical text classification
H. Chen, Q. Ma, Z. Lin, and J. Yan · 2021
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Measuring massive multitask language understanding
D. Hendrycks, C. Burns, S. Basart, A. Zou, M. Mazeika, D. Song, and J. Steinhardt · 2021
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Supporting policy-making with social media and e-participation platforms data: A policy analytics framework
Enhancing hierarchical text classification through knowledge graph integration
Y. Liu, K. Zhang, Z. Huang, K. Wang, Y. Zhang, Q. Liu, and E. Chen · 2023
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Llama: Open and efficient foundation language models
H. Touvron, T. Lavril, G. Izacard, X. Martinet, M.-A. Lachaux, T. Lacroix, B. Rozière, N. Goyal, E. Hambro, F. Azhar, et al · 2023
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From local to global: A graph rag approach to query-focused summarization
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A survey on rag meeting llms: Towards retrieval-augmented large language models
W. Fan, Y. Ding, L. Ning, S. Wang, H. Li, D. Yin, T.-S. Chua, and Q. Li · 2024
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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A. Simonofski, J. Fink, and C. Burnay · 2021
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Clean or annotate: How to spend a limited data collection budget
D. Chen, Z. Yu, and S. R. Bowman · 2022
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Modeling label space interactions in multi-label classification using box embeddings
D. Patel, P. Dangati, J.-Y. Lee, M. Boratko, and A. McCallum · 2022
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Zero-shot taxonomy mapping for document classification
L. Bongiovanni, L. Bruno, F. Dominici, and G. Rizzo · 2023
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Retrieval-augmented generation for large language models: A survey
Y. Gao, Y. Xiong, X. Gao, K. Jia, J. Pan, Y. Bi, Y. Dai, J. Sun, H. Wang, and H. Wang · 2023
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Long-context llms struggle with long in-context learning
T. Li, G. Zhang, Q. D. Do, X. Yue, and W. Chen
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Autokaggle: A multi-agent framework for autonomous data science competitions
Z. Li, Q. Zang, D. Ma, J. Guo, T. Zheng, M. Liu, X. Niu, Y. Wang, J. Yang, J. Liu, et al
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A. Liu, B. Feng, B. Xue, B. Wang, B. Wu, C. Lu, C. Zhao, C. Deng, C. Zhang, C. Ruan, et al · 2024
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Graphinstruct: Empowering large language models with graph understanding and reasoning capability
Z. Luo, X. Song, H. Huang, J. Lian, C. Zhang, J. Jiang, and X. Xie · 2024
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Label augmentation for zero-shot hierarchical text classification
L. Paletto, V. Basile, and R. Esposito · 2024
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Graph retrieval-augmented generation: A survey
B. Peng, Y. Zhu, Y. Liu, X. Bo, H. Shi, C. Hong, Y. Zhang, and S. Tang · 2024
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A. Yang, B. Yang, B. Zhang, B. Hui, B. Zheng, B. Yu, C. Li, D. Liu, F. Huang, H. Wei, et al · 2024
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Lime: Less is more for mllm evaluation
K. Zhu, Q. Zang, S. Jia, S. Wu, F. Fang, Y. Li, S. Gavin, T. Zheng, J. Guo, B. Li, et al · 2024
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