---
title: "Who cites Kun Han — 60 papers of our library — Elamur Research"
description: "60 papers of the Elamur Research library cite the works of Kun Han, found in their bibliographies; the most cited first."
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---
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# Who cites Kun Han

60 citations of their works from 60 papers of our library (of the 149,439 whose bibliographies we read) · 29 with a page here, the most cited first · [← Kun Han](https://md.research.elamur.ai/free/en/authors/kun-han/)

1. **[LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models](https://md.research.elamur.ai/free/en/papers/zheng-2024-llamafactory-unified-efficient-fine-tuning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yaowei Zheng, Richong Zhang, Junhao Zhang, et al.*2024 · 1,048 citations*
2. **[doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset](https://md.research.elamur.ai/free/en/papers/feng-2020-doc2dial-goal-oriented-document-grounded/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Song Feng, Hui Wan, Chulaka Gunasekara, et al.*2020 · 152 citations*
3. **[DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification](https://md.research.elamur.ai/free/en/papers/qin-2020-dcr-net-deep-co-interactive/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Libo Qin, Wanxiang Che, Yangming Li, et al.*2020 · 105 citations*
4. [**LongAlign: A Recipe for Long Context Alignment of Large Language Models arXiv:2401.18058**Yushi Bai, Xin Lv, Jiajie Zhang, et al.*2024 · 98 citations*](https://md.research.elamur.ai/free/en/papers/bai-2024-longalign-recipe-long-context/)
5. **[Dialogue Act Classification with Context-Aware Self-Attention](https://md.research.elamur.ai/free/en/papers/raheja-2019-dialogue-act-classification-context-aware/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Vipul Raheja, Joel Tetreault*2019 · 89 citations*
6. **[Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification](https://md.research.elamur.ai/free/en/papers/qin-2020-co-gat-co-interactive-graph/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Libo Qin, Zhouyang Li, Wanxiang Che, et al.*2020 · 85 citations*
7. **[Towards Emotion-aided Multi-modal Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/saha-2020-emotion-aided-multi-modal-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tulika Saha, Aditya Patra, Sriparna Saha, et al.*2020 · 79 citations*
8. [**Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers arXiv:2404.04925**Libo Qin, Qiguang Chen, Yuhang Zhou, et al.*2024 · 75 citations*](https://md.research.elamur.ai/free/en/papers/qin-2024-multilingual-large-language-model-survey/)
9. **[Contextual Dialogue Act Classification for Open-Domain Conversational Agents](https://md.research.elamur.ai/free/en/papers/ahmadvand-2020-contextual-dialogue-act-classification-open/) [International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)](https://md.research.elamur.ai/free/en/venues/international-acm-sigir-conference-on-research-and-development-in-information/)**Ali Ahmadvand, Jason Ingyu Choi, Eugene Agichtein*2020 · 56 citations*
10. [**MIDAS: A Dialog Act Annotation Scheme for Open Domain Human-Machine Spoken Conversations**Dian Yu, Zhou Yu*2021 · 47 citations*](https://md.research.elamur.ai/free/en/papers/yu-2021-midas-dialog-act-annotation-scheme/)
11. **[A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/bothe-2018-context-based-approach-dialogue-act/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Chandrakant Bothe, Cornelius Weber, Sven Magg, et al.*2018 · 46 citations*
12. [**Nemotron-4 15B Technical Report arXiv:2402.16819**Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, et al.*2024 · 30 citations*](https://md.research.elamur.ai/free/en/papers/parmar-2024-nemotron-4-15b-technical-report/)
13. **[Speaker-change Aware CRF for Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/shang-2020-speaker-change-aware-crf-dialogue/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Guokan Shang, Antoine Tixier, Michalis Vazirgiannis, et al.*2020 · 23 citations*
14. **[Lexico-acoustic Neural-based Models for Dialog Act Classification](https://md.research.elamur.ai/free/en/papers/ortega-2018-lexico-acoustic-neural-based-models/) [IEEE International Conference on Acoustics Speech and Signal Processing](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-acoustics-speech-and-signal-processing/)**Daniel Ortega, Ngoc Thang Vu*2018 · 21 citations*
15. **[Detecting Institutional Dialog Acts in Police Traffic Stops](https://md.research.elamur.ai/free/en/papers/prabhakaran-2018-detecting-institutional-dialog-acts-police/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Vinodkumar Prabhakaran, Camilla Griffiths, Hang Su, et al.*2018 · 20 citations*
16. **[What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition](https://md.research.elamur.ai/free/en/papers/zelasko-2021-what-helps-transformers-recognize-conversational/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Piotr Żelasko, Raghavendra Pappagari, Najim Dehak*2021 · 19 citations*
17. [**Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues**Shachi Paul, Rahul Goel, Dilek Hakkani-Tur*2019 · 19 citations*](https://md.research.elamur.ai/free/en/papers/paul-2019-towards-universal-dialogue-act-tagging/)
18. **[Deep Dialog Act Recognition using Multiple Token, Segment, and Context Information Representations](https://md.research.elamur.ai/free/en/papers/ribeiro-2018-deep-dialog-act-recognition-using/) [Journal of Artificial Intelligence Research](https://md.research.elamur.ai/free/en/venues/journal-of-artificial-intelligence-research/)**Eugenio Ribeiro; Ricardo Ribeiro;, David Martins de Matos*2018 · 18 citations*
19. [**Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition arXiv:2003.06044**Zhigang Dai, Jinhua Fu, Qile Zhu, et al.*2020 · 15 citations*](https://md.research.elamur.ai/free/en/papers/dai-2020-local-contextual-attention-hierarchical-structure/)
20. **[Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training](https://md.research.elamur.ai/free/en/papers/wan-2018-improved-dynamic-memory-network-dialogue/) [IEEE International Conference on Big Data (BigData)](https://md.research.elamur.ai/free/en/venues/ieee-international-conference-on-big-data-bigdata/)**Yao Wan, Wenqiang Yan, Jianwei Gao, et al.*2018 · 14 citations*
21. [**Do LLMs Understand Dialogues? A Case Study on Dialogue Acts**Ayesha Qamar, Jonathan Tong, Ruihong Huang*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/qamar-2025-do-llms-understand-dialogues-case/)
22. [**Reasoning Requirements for Indirect Speech Act Interpretation**Vasanth Sarathy, Alexander Tsuetaki, Antonio Roque, et al.*2020 · 5 citations*](https://md.research.elamur.ai/free/en/papers/sarathy-2020-reasoning-requirements-indirect-speech-act/)
23. **[A Study on Dialog Act Recognition using Character-Level Tokenization](https://md.research.elamur.ai/free/en/papers/ribeiro-2018-study-dialog-act-recognition-using/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Eugenio Ribeiro; Ricardo Ribeiro;, David Martins de Matos*2018 · 5 citations*
24. **[Meta-Learning based Deferred Optimisation for Sentiment and Emotion aware Multi-modal Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/saha-2022-meta-learning-based-deferred-optimisation/) [Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)](https://md.research.elamur.ai/free/en/venues/aacl/)**Tulika Saha, Aditya Prakash Patra, Sriparna Saha, et al.*2022 · 4 citations*
25. **[Automatic Recognition of the General-Purpose Communicative Functions defined by the ISO 24617-2 Standard for Dialog Act Annotation](https://md.research.elamur.ai/free/en/papers/ribeiro-2020-automatic-recognition-general-purpose-communicative/) [Journal of Artificial Intelligence Research](https://md.research.elamur.ai/free/en/venues/journal-of-artificial-intelligence-research/)**Eugenio Ribeiro; Ricardo Ribeiro;, David Martins de Matos*2020 · 4 citations*
26. [**Dialogue Act Classification in Group Chats with DAG-LSTMs arXiv:1908.01821**Ozan Irsoy, Rakesh Gosangi, Haimin Zhang, et al.*2019 · 4 citations*](https://md.research.elamur.ai/free/en/papers/irsoy-2019-dialogue-act-classification-group-chats/)
27. **[Improving Classroom Dialogue Act Recognition from Limited Labeled Data with Self-Supervised Contrastive Learning Classifiers](https://md.research.elamur.ai/free/en/papers/kumaran-2023-improving-classroom-dialogue-act-recognition/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Vikram Kumaran, Jonathan Rowe, Bradford Mott, et al.*2023 · 3 citations*
28. **[Preference Learning Unlocks LLMs' Psycho-Counseling Skills](https://md.research.elamur.ai/free/en/papers/zhang-2026-preference-learning-unlocks-llms-psycho/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mian Zhang, Shaun M. Eack, Zhiyu Chen*2026 · 2 citations*
29. **[FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained Evaluation](https://md.research.elamur.ai/free/en/papers/oh-2026-finest-improving-llm-responses-sensitive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Juhyun Oh, Nayeon Lee, Chani Jung, et al.*2026*

31 more citing papers of our library have no page here yet.

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