Instructive Code Retriever: Learn from Large Language Model’s Feedback for Code Intelligence Tasks
Abstract: Recent studies proposed to leverage large language models (LLMs) with In-Context Learning (ICL) to handle code intelligence tasks without fine-tuning. ICL employs task instructions and a set ...
openbench provides standardized, reproducible benchmarking for LLMs across 30+ evaluation suites (and growing) spanning knowledge, math, reasoning, coding, science, reading comprehension, health, long ...
Abstract: To ensure the software quality, testing methods aim at both targets of achieving high code coverage and error detection capability. Among various testing ...
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