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Classification over Clustering: Augmenting Text Representation with Clusters Helps!

, , , and . NLPCC (2), volume 11839 of Lecture Notes in Computer Science, page 28-40. Springer, (2019)

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Low-Resource Knowledge-Grounded Dialogue Generation., , , , , and . CoRR, (2020)Meta-Task Prompting Elicits Embedding from Large Language Models., , , , , , and . CoRR, (2024)RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems., , , and . CoRR, (2017)WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct., , , , , , , , , and . CoRR, (2023)Knowledge Refinement via Interaction Between Search Engines and Large Language Models., , , , , , , and . CoRR, (2023)A Survey on Knowledge Distillation of Large Language Models., , , , , , , , and . CoRR, (2024)Adam: Dense Retrieval Distillation with Adaptive Dark Examples., , , , , , , and . CoRR, (2022)There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning., , , and . EMNLP, page 1878-1891. Association for Computational Linguistics, (2022)PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings., , , , , and . EMNLP, page 12052-12066. Association for Computational Linguistics, (2022)Attend, Select and Eliminate: Accelerating Multi-turn Response Selection with Dual-attention-based Content Elimination., , , , and . ACL (Findings), page 6758-6770. Association for Computational Linguistics, (2023)