Shypd.aiThe largest open index of AI toolsLongCite is an academic research tool that enables LLMs to generate fine-grained citations in long-context question answering. It provides models trained on GLM-4-9B and Meta-Llama-3.1-8B for accurate responses and precise sentence-level citations.
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LongCite is an open-source project designed to enhance Large Language Models (LLMs) by enabling them to generate fine-grained, sentence-level citations within long-context question answering scenarios. This capability significantly improves the verifiability and accuracy of LLM outputs. The project offers two pre-trained models, LongCite-glm4-9b and LongCite-llama3.1-8b, which support up to 128K context and are based on GLM-4-9B and Meta-Llama-3.1-8B, respectively. LongCite also provides a CoF (Coarse to Fine) pipeline for automated SFT data construction, allowing users to generate high-quality long-context QA instances with fine-grained citations. Additionally, it includes an automatic benchmark, LongBench-Cite, for evaluating citation quality and response correctness.
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