RAG系列论文
阿里RAG新框架R4:增强检索器-重排序-响应器,5个知识密集任务上都超过Self-RAG。
大模型幻觉综述
Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models
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大模型的涌现能力
Emergent Abilities of Large Language Models
预训练模型
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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T5:
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
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Roberta:
RoBERTa: A Robustly Optimized BERT Pretraining Approach
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检索增强模型:
提出Atlas :预训练检索增强模型
Few-shot Learning with Retrieval Augmented Language Models
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根据输入问题的不同,挑选合适的提示词
Learning To Retrieve Prompts for In-Context Learning
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RAG:
Meta 2020 RAG
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
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阿里RAG新框架R4:增强检索器-重排序-响应器,5个知识密集任务上都超过Self-RAG
R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models
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融合检索模型和外部wiki百科数据进行回答
AI-based Question Answering Assistance for Analyzing Natural-language Requirements
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检索增强模型查询重写
Query Rewriting for Retrieval-Augmented Large Language Models
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重排序
LLM-RankFusion: Mitigating Intrinsic Inconsistencyin LLM-based Ranking
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