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# Who cites «Large-scale text pre-training helps with dialogue act recognition, but not without fine-tuning»

7 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/noble-2021-large-scale-text-pre-training/)

1. [Investigating the Representation of Backchannels and Fillers in Fine-tuned Language Models](https://aclanthology.org/2026.acl-long.241/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [Conversational Feedback in Scripted versus Spontaneous Dialogues: A Comparative Analysis](https://aclanthology.org/2024.sigdial-1.38/) *— 2024 · Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
3. [Dual Process Masking for Dialogue Act Recognition](https://aclanthology.org/2024.findings-emnlp.895/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
4. [Do dialogue representations align with perception? An empirical study](https://aclanthology.org/2023.eacl-main.198/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
5. [Dialogue Act and Slot Recognition in Italian Complex Dialogues](https://aclanthology.org/2022.eurali-1.8/) *— 2022 · Proceedings of the Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia within the 13th Language Resources and Evaluation Conference*
6. [Improving Dialogue Act Recognition with Augmented Data](https://aclanthology.org/2022.gem-1.44/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
7. jain-2025-emergent-wisdom-bea-2025-shared
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