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Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations., , , , , , and . EMNLP/IJCNLP (1), page 1909-1919. Association for Computational Linguistics, (2019)Context-to-Session Matching: Utilizing Whole Session for Response Selection in Information-Seeking Dialogue Systems., , , , , , and . KDD, page 1605-1613. ACM, (2020)ReCode: Robustness Evaluation of Code Generation Models., , , , , , , , , and 4 other author(s). ACL (1), page 13818-13843. Association for Computational Linguistics, (2023)Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism., , , , , and . IJCAI, page 4418-4424. ijcai.org, (2018)Semi-supervised Text Style Transfer: Cross Projection in Latent Space., , , , , , and . EMNLP/IJCNLP (1), page 4936-4945. Association for Computational Linguistics, (2019)Entity Resolution in Open-domain Conversations., , , , , , , , , and 2 other author(s). NAACL-HLT (Industry Papers), page 26-33. Association for Computational Linguistics, (2021)Design and Implementation of Big Data Management Platform for Android Applications., , , and . ICBDT, page 36-40. ACM, (2020)CodeFort: Robust Training for Code Generation Models., , , , , , , , , and 1 other author(s). CoRR, (2024)Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting using LLM., , , , , , and . Proc. ACM Softw. Eng., 1 (FSE): 951-971 (2024)Multi-lingual Evaluation of Code Generation Models., , , , , , , , , and 15 other author(s). CoRR, (2022)