ALCE
Visit ToolALCE is an open-source research tool that enables large language models to generate text with citations. It provides a benchmark for automatic LLM citation evaluation, including datasets and evaluation code.
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ALCE is an open-source research tool that enables large language models to generate text with citations. It provides a benchmark for automatic LLM citation evaluation, including datasets and evaluation code.
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About
ALCE, pronounced /elk/, is an open-source project from Princeton NLP designed to enable large language models (LLMs) to generate text with accurate citations. It introduces a benchmark for Automatic LLMs' Citation Evaluation (ALCE) and includes three datasets: ASQA, QAMPARI, and ELI5. The repository provides comprehensive code for automatic evaluation of LLM generations across fluency, correctness, and citation quality. Researchers can also reproduce baselines from the associated EMNLP 2023 paper, perform passage retrieval, and add post-hoc citations to closed-book models. It supports both OpenAI API and offline HuggingFace models, making it a versatile tool for academic research in natural language processing.
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