Who cites Yao Wang
- A Simple Language Model for Task-Oriented DialoguearXiv:2005.00796Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, et al.2020 · 399 citations
- MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking BaselinesWorkshop on Natural Language Processing for Conversational AIXiaoxue Zang, Abhinav Rastogi, Srinivas Sunkara, et al.2020 · 335 citations
- Efficient Dialogue State Tracking by Selectively Overwriting MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Sungdong Kim, Sohee Yang, Gyuwan Kim, et al.2020 · 270 citations
- MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue SystemsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, et al.2020 · 240 citations
- MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking EvaluationAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Fanghua Ye, Jarana Manotumruksa, Emine Yilmaz2022 · 131 citations
- Common Ground Tracking in Multimodal DialogueLanguage Resources and Evaluation Conference (LREC)Ibrahim Khalil Khebour, Kenneth Lai, Mariah Bradford, et al.2024 · 18 citations
- Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable RewardAnnual Meeting of the Association for Computational Linguistics (ACL)Weiyang Guo, Zesheng Shi, Zeen Zhu, et al.2026 · 10 citations
- Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive ScoringAnnual Meeting of the Association for Computational Linguistics (ACL)Peichun Hua, Hao Li, Shanghao Shi, et al.2026 · 10 citations
- STRIDE-ED: A Strategy-Grounded Stepwise Reasoning Framework for Empathetic Dialogue SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongru Ji, Yuyin Fan, Meng Zhao, et al.2026 · 10 citations
- Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal UncertaintyFindings of the Association for Computational LinguisticsChao Xue, Yao Wang, Mengqiao Liu, et al.2026 · 8 citations
- Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chao Xue, Yao Wang, Mengqiao Liu, et al.2026 · 6 citations
- Do LLMs Capture Embodied Cognition and Cultural Variation? Cross-Linguistic Evidence from DemonstrativesAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Wang, Emmanuele Chersoni, Chu-Ren Huang2026
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