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MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning., , , , , , and . CoRR, (2023)A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation., , , , and . CoRR, (2023)Using Context Events in Neural Network Models for Event Temporal Status Identification., , and . IJCNLP(2), page 234-239. Asian Federation of Natural Language Processing, (2017)How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method., , , , , , , and . EACL, page 2993-3002. Association for Computational Linguistics, (2023)C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References., , , , , and . ACL (2), page 371-377. Association for Computational Linguistics, (2022)Weakly-Supervised Fine-Grained Event Recognition on Social Media Texts for Disaster Management., , , , and . AAAI, page 532-539. AAAI Press, (2020)From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning., , , , , , and . CoRR, (2023)Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models., , , , , , and . CoRR, (2024)A Weakly Supervised Approach to Train Temporal Relation Classifiers and Acquire Regular Event Pairs Simultaneously., , and . RANLP, page 803-812. INCOMA Ltd., (2017)Online Deception Detection Refueled by Real World Data Collection., , , and . RANLP, page 793-802. INCOMA Ltd., (2017)