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Towards A Unified View of Answer Calibration for Multi-Step Reasoning., , , и . CoRR, (2023)LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities., , , , , , , , и . CoRR, (2023)Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View., , , , , и . CoRR, (2023)When Do Program-of-Thought Works for Reasoning?, , , , , и . AAAI, стр. 17691-17699. AAAI Press, (2024)Reasoning with Language Model Prompting: A Survey., , , , , , , , и . ACL (1), стр. 5368-5393. Association for Computational Linguistics, (2023)From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal., , , , и . ICCV, стр. 12063-12073. IEEE, (2023)ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning., , , , , , и . SemEval@ACL/IJCNLP, стр. 810-819. Association for Computational Linguistics, (2021)Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction., , , , , , , , и . NAACL-HLT (Findings), стр. 1607-1618. Association for Computational Linguistics, (2022)Ontology-enhanced Prompt-tuning for Few-shot Learning., , , , , , , и . WWW, стр. 778-787. ACM, (2022)Disentangled Contrastive Learning for Learning Robust Textual Representations., , , , , , и . CICAI (2), том 13070 из Lecture Notes in Computer Science, стр. 215-226. Springer, (2021)