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C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References., , , , , и . ACL (2), стр. 371-377. Association for Computational Linguistics, (2022)Weakly-Supervised Fine-Grained Event Recognition on Social Media Texts for Disaster Management., , , , и . AAAI, стр. 532-539. AAAI Press, (2020)How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method., , , , , , , и . EACL, стр. 2993-3002. Association for Computational Linguistics, (2023)Using Context Events in Neural Network Models for Event Temporal Status Identification., , и . IJCNLP(2), стр. 234-239. Asian Federation of Natural Language Processing, (2017)Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories., , , , , и . EMNLP (1), стр. 7741-7751. Association for Computational Linguistics, (2021)ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion., , , , , , и . ICDM (Workshops), стр. 1-6. IEEE, (2022)Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models., , , , , и . ICLR, OpenReview.net, (2023)MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning., , , , , , и . LREC/COLING, стр. 11307-11318. ELRA and ICCL, (2024)From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning., , , , , , и . NAACL-HLT, стр. 2341-2369. Association for Computational Linguistics, (2024)MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning., , , , , , , и . NAACL-HLT, стр. 1287-1310. Association for Computational Linguistics, (2024)