Retrieval-augmented generation for large language models: A survey
Y Gao, Y Xiong, X Gao, K Jia, J Pan, Y Bi, Y Dai… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) demonstrate powerful capabilities, but they still face
challenges in practical applications, such as hallucinations, slow knowledge updates, and …
challenges in practical applications, such as hallucinations, slow knowledge updates, and …
From persona to personalization: A survey on role-playing language agents
Recent advancements in large language models (LLMs) have significantly boosted the rise
of Role-Playing Language Agents (RPLAs), ie, specialized AI systems designed to simulate …
of Role-Playing Language Agents (RPLAs), ie, specialized AI systems designed to simulate …
Attendre: Wait to attend by retrieval with evicted queries in memory-based transformers for long context processing
Z Yang, N Hua - arXiv preprint arXiv:2401.04881, 2024 - arxiv.org
As LLMs have become capable of processing more complex types of inputs, researchers
have recently studied how to efficiently and affordably process possibly arbitrarily long …
have recently studied how to efficiently and affordably process possibly arbitrarily long …
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning
Since commonsense information has been recorded significantly less frequently than its
existence, language models pre-trained by text generation have difficulty to learn sufficient …
existence, language models pre-trained by text generation have difficulty to learn sufficient …