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Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models., , , , , , and . CoRR, (2023)Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank., , , , and . CoRR, (2024)Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue., , , , , , , , and . CoRR, (2022)EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization., , , , , and . ICCV, page 17030-17040. IEEE, (2023)Towards Efficiently Diversifying Dialogue Generation Via Embedding Augmentation., , , and . ICASSP, page 7443-7447. IEEE, (2021)RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies., , , , , , , and . ICASSP, page 1-5. IEEE, (2023)Prompting GPT-3.5 for Text-to-SQL with De-semanticization and Skeleton Retrieval., , , , , , and . PRICAI (2), volume 14326 of Lecture Notes in Computer Science, page 262-274. Springer, (2023)How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models., , , , , and . ACL (2), page 231-236. Association for Computational Linguistics, (2017)Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation., , , , , , , and . ACL (1), page 583-595. Association for Computational Linguistics, (2022)Learning to Abstract for Memory-augmented Conversational Response Generation., , , and . ACL (1), page 3816-3825. Association for Computational Linguistics, (2019)