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In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search.

, , , , , , , , , and . CoRR, (2023)

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Logic-Induced-Long-Tail (LINT)., , , and . (September 2023)Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective., , , , , , , , , and 1 other author(s). CoRR, (2023)In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search., , , , , , , , , and . EMNLP, page 2348-2370. Association for Computational Linguistics, (2024)In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search., , , , , , , , , and . CoRR, (2023)ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery., , , , , , , , , and 10 other author(s). CoRR, (2024)Federated User Modeling from Hierarchical Information., , , , , , , , and . ACM Trans. Inf. Syst., 41 (2): 46:1-46:33 (April 2023)Stable and Diverse: A Unified Approach for Computerized Adaptive Testing., , , , , , and . CCIS, page 61-65. IEEE, (2021)A Novel Approach for Auto-Formulation of Optimization Problems., , , , , , , , and . CoRR, (2023)Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification., , , , , , and . IJCAI, page 2104-2113. ijcai.org, (2023)Hierarchical Personalized Federated Learning for User Modeling., , , , , , , and . WWW, page 957-968. ACM / IW3C2, (2021)