Abstract: In this article, we present a comprehensive end-to-end evaluation platform for various front-end-of-line (FEOL) and back-end-of-line (BEOL) technology options at the 3-nm technology node.
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 ...
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