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UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle., , , , , , , , , и . NAACL-HLT (Findings), стр. 2661-2673. Association for Computational Linguistics, (2024)DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment., , , , , , , и . EMNLP (Findings), стр. 15128-15145. Association for Computational Linguistics, (2023)PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation., , , , , , , , и . EMNLP (Industry Track), стр. 587-595. Association for Computational Linguistics, (2022)MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification., , , , , , , , , и . CoRR, (2024)Pre-trained Language Model-based Retrieval and Ranking for Web Search., , , , , , , , , и 2 other автор(ы). ACM Trans. Web, 17 (1): 4:1-4:36 (февраля 2023)Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method., , , , , , , , и . NAACL-HLT, стр. 7051-7063. Association for Computational Linguistics, (2024)Actively predicting diverse search intent from user browsing behaviors., , и . WWW, стр. 221-230. ACM, (2010)Approximated Doubly Robust Search Relevance Estimation., , , , , , , , и . CIKM, стр. 3756-3765. ACM, (2022)DiQAD: A Benchmark Dataset for End-to-End Open-domain Dialogue Assessment., , , , , , , и . CoRR, (2023)Let web spammers expose themselves., , , , и . WSDM, стр. 525-534. ACM, (2011)