mlsanityData to 7 Oct 2026

A Dual-Directional Context-Aware Test-Time Learning for Text Classification

arXiv 2503.15469 ↗First posted 19 Mar 2025cs.CL cs.AIcited by 1

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Abstract (arXiv)

Text classification assigns text to predefined categories. Traditional methods struggle with complex structures and long-range dependencies. Deep learning with recurrent neural networks and Transformer models has improved feature extraction and context awareness. However, these models still trade off interpretability, efficiency and contextual range. We propose the Dynamic Bidirectional Elman Attention Network (DBEAN). DBEAN combines bidirectional temporal modeling and self-attention. It dynamically weights critical input segments and preserves computational efficiency.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 16 of its 31 references that are in the map. First posted on arXiv 19 Mar 2025.

Builds on

16 of 31 references.

References · 16

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  3. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,462
  4. 2019XLNet: Generalized Autoregressive Pretraining for Language Understandingcited by 2,801
  5. 2015Character-level Convolutional Networks for Text Classificationcited by 2,293
  6. 2016Bag of Tricks for Efficient Text Classificationcited by 869
  7. 2017Gate-Variants of Gated Recurrent Unit (GRU) Neural Networkscited by 239
  8. 2019Text Classification Algorithms: A Surveycited by 163
  9. 2018Joint Embedding of Words and Labels for Text Classificationcited by 69
  10. 2018Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanismscited by 53
  11. 2018Investigating Capsule Networks with Dynamic Routing for Text Classificationcited by 23
  12. 2018On Tree-Based Neural Sentence Modelingcited by 16
4 more
  1. 2018Explicit Interaction Model towards Text Classificationcited by 16
  2. 2018Compositional Coding Capsule Network with K-Means Routing for Text Classificationcited by 5
  3. 2019Squeezed Very Deep Convolutional Neural Networks for Text Classificationcited by 2
  4. 2018Abstractive Text Classification Using Sequence-to-convolution Neural Networkscited by 1

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Citing papers per year: 2025: 1.

1 paper.

  1. 2025Mechanistic Interpretability of Fine-Tuned Vision Transformers on Distorted Images: Decoding Attention Head Behavior for Transparent and Trustworthy AIcited by 4