Research map / Large language models / Language, safety and interpretability
Improving Topic Modeling by Distilling Soft Labels from Language Models
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Closest papers by meaning
- textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR (ICLR 2019 · similarity 0.88)
- Explainable and Discourse Topic-aware Neural Language Understanding (ICML 2020 · similarity 0.88)
- Neural Topic Model via Optimal Transport (ICLR 2021 · similarity 0.87)
- Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes (NeurIPS 2023 · similarity 0.87)
- Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings (ICLR 2022 · similarity 0.86)
- FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model (NeurIPS 2024 · similarity 0.84)
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