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Multiperiod Corporate Default Prediction Through Neural Parametric Family Learning.

, , , , and . SDM, page 316-324. SIAM, (2022)

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Query and Answer Expansion from Conversation History., , , , and . TREC, volume 1250 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2019)Chatty Goose: A Python Framework for Conversational Search., , , , , and . SIGIR, page 2521-2525. ACM, (2021)Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling., , , , and . SIGIR, page 113-122. ACM, (2021)Toward Automatic Relevance Judgment using Vision-Language Models for Image-Text Retrieval Evaluation., and . CoRR, (2024)TTTTTackling WinoGrande Schemas., , , , , and . CoRR, (2020)Multiperiod Corporate Default Prediction Through Neural Parametric Family Learning., , , , and . SDM, page 316-324. SIAM, (2022)In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval., , and . RepL4NLP@ACL-IJCNLP, page 163-173. Association for Computational Linguistics, (2021)Text-to-Text Multi-view Learning for Passage Re-ranking., , and . SIGIR, page 1803-1807. ACM, (2021)Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval., , , , , , , , , and 1 other author(s). TREC, volume 500-338 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2022)TREC 2020 Notebook: CAsT Track., , and . TREC, volume 1266 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2020)