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User-Inspired Posterior Network for Recommendation Reason Generation., , , , , , and . SIGIR, page 1937-1940. ACM, (2020)SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response Ranking., , , , , and . CoRR, (2024)PmxPred: A data-driven approach for the identification of active polymyxin analogues against gram-negative bacteria., , , , , , , , , and 3 other author(s). Comput. Biol. Medicine, (January 2024)CL-CSP: Contrastive Learning with Continuous Semantic Perturbations for Neural Dialogue Generation., and . IJCNN, page 1-8. IEEE, (2023)Turning Flowchart into Dialog: Augmenting Flowchart-grounded Troubleshooting Dialogs via Synthetic Data Generation., , , , , and . ALTA, page 88-99. Association for Computational Linguistics, (2023)Identifying Untrustworthy Samples: Data Filtering for Open-domain Dialogues with Bayesian Optimization., , , , , and . CIKM, page 1598-1608. ACM, (2021)Probing Product Description Generation via Posterior Distillation., , , , , , , and . AAAI, page 14301-14309. AAAI Press, (2021)Let's Negotiate! A Survey of Negotiation Dialogue Systems., , , , , , , , , and . EACL (Findings), page 2019-2031. Association for Computational Linguistics, (2024)BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions., , , , , , , , , and 23 other author(s). CoRR, (2024)Pairwise GUI Dataset Construction Between Android Phones and Tablets., , , and . CoRR, (2023)