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ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning.

, , , , , , , , and . CoRR, (2020)

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Large Language Model as Autonomous Decision Maker., , , , , and . CoRR, (2023)Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations., , , , , , , and . CoRR, (2019)Parameter-efficient fine-tuning of large-scale pre-trained language models., , , , , , , , , and 10 other author(s). Nat. Mac. Intell., 5 (3): 220-235 (March 2023)StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models., , , , , , , , and . CoRR, (2024)AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents., , , , , , , , , and 3 other author(s). CoRR, (2023)Comparing Three Methods of Selecting Training Samples in Supervised Classification of Multispectral Remote Sensing Images., , , , , and . Sensors, 23 (20): 8530 (October 2023)ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning., , , , , , , , and . ACL/IJCNLP (1), page 3350-3363. Association for Computational Linguistics, (2021)FPT: Improving Prompt Tuning Efficiency via Progressive Training., , , , , , and . EMNLP (Findings), page 6877-6887. Association for Computational Linguistics, (2022)Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents., , , , , , , , , and 1 other author(s). CoRR, (2024)ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs., , , , , , , , , and 8 other author(s). CoRR, (2023)