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PromptExplainer: Explaining Language Models through Prompt-based Learning., , , and . EACL (Findings), page 882-895. Association for Computational Linguistics, (2024)Mining API Usage Examples from Test Code., , , , , and . ICSME, page 301-310. IEEE Computer Society, (2014)Tailored text augmentation for sentiment analysis., , , and . Expert Syst. Appl., (2022)Recommending relevant projects via user behaviour: an exploratory study on github., , , and . CrowdSoft@SIGSOFT FSE, page 25-30. ACM, (2014)Monte-Carlo Method-Based Collaborative Detection of Underwater Targets by Multiple Air-Water Amphibious Robots., , , , , , , and . CACRE, page 337-342. IEEE, (2023)Integrated DLP and DIW 3D Printer for Flexible Electronics., , , and . ICIRA (4), volume 14270 of Lecture Notes in Computer Science, page 45-52. Springer, (2023)From API to NLI: A new interface for library reuse., , , , and . J. Syst. Softw., (2020)Unveiling and Manipulating Prompt Influence in Large Language Models., , , , and . ICLR, OpenReview.net, (2024)MICL: Improving In-Context Learning through Multiple-Label Words in Demonstration., , , , and . CoRR, (2024)LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction., , , , , and . ACL (1), page 11972-11990. Association for Computational Linguistics, (2024)