Kun Qian
Kun Qian has 3 papers in our library, in 2020–2024, most of them on Dialogue systems, Evaluation & benchmarks, Reasoning; often with Zhou Yu, Caiming Xiong, Huan Wang.
OpenAlex · ORCID · h-index 16 · 40 works · 1,144 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 179 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4821
Affiliations
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works
🧭 Topics 5Research subjects and languages the work is about.Interpretability · 1 workDialogue systems · 1 workEnglish · 1 workEvaluation & benchmarks · 1 workReasoning · 1 work
Works by year
2020s
Papers
- A Survey of the State of Explainable AI for Natural Language Processing (2020 · 294 citations)
Modern NLP has moved from transparent methods such as rules, decision trees and HMMs to deep neural models and embeddings. - DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI (2023 · 21 citations)
Conversational models often struggle across varied dialogue tasks because training data is fragmented, small, task-specific and stored in inconsistent formats. - DECOR: Improving Coherence in L2 English Writing with a Novel Benchmark for Incoherence Detection, Reasoning, and Rewriting (2024 · 5 citations)
Second-language (L2) English learners often struggle with discourse coherence. Existing automated writing evaluation tools mostly assign a coherence score based on shallow linguistic features and do not help learners fix the problem. The authors present DECOR, a benchmark built from 100 medium-level TOEFL-11 essays.…
All works
- A Survey of the State of Explainable AI for Natural Language ProcessingConference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)Marina Danilevsky, Kun Qian, Ranit Aharonov, et al.2020 · 294 citations
- Domain Adaptive Dialog Generation via Meta Learning ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetKun Qian, Zhou Yu2019 · 178 citations
- Low-resource Deep Entity Resolution with Transfer and Active Learning ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetJungo Kasai et al.2019 · 154 citations
- DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AIFindings of the Association for Computational LinguisticsJianguo Zhang, Kun Qian, Zhiwei Liu, et al.2023 · 21 citations
- DECOR: Improving Coherence in L2 English Writing with a Novel Benchmark for Incoherence Detection, Reasoning, and RewritingConference on Empirical Methods in Natural Language Processing (EMNLP)Xuanming Zhang, Anthony Diaz, Zixun Chen, et al.2024 · 5 citations
Co-authors here
- Zhou Yu ×2
- Caiming Xiong
- Huan Wang
- Jianguo Zhang
- Marina Danilevsky
- Qingyang Wu
- Ranit Aharonov
- Rui Meng
- Shelby Heinecke
- Silvio Savarese
- Yannis Katsis
- Ye Liu
Venues
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics ×2
- Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL): AACL 2020
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2024
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023
Cited by
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