NewsDialogues: Towards Proactive News Grounded Conversation vs LongLLaMA-handle very long text contexts, up to 256,000 tokens

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NewsDialogues: Towards Proactive News Grounded Conversation
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NewsDialogues: Towards Proactive News Grounded Conversation

In this paper, we propose a novel task, Proactive News Grounded Conversation, in which a dialogue system can proactively lead the conversation based on some key topics of the news.

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LongLLaMA-handle very long text contexts, up to 256,000 tokens
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LongLLaMA-handle very long text contexts, up to 256,000 tokens

LongLLaMA is a large language model designed to handle very long text contexts, up to 256,000 tokens. It's based on OpenLLaMA and uses a technique called Focused Transformer (FoT) for training. The repository provides a smaller 3B version of LongLLaMA for free use. It can also be used as a replacement for LLaMA models with shorter contexts.

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