A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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This survey systematically reviews retrieval-augmented generation (RAG) for NLP, which enhances LLMs by leveraging external knowledge bases to mitigate limitations like hallucination and outdated knowledge.
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, et al.
Comprehensive review of uncertainty quantification methods in deep learning, covering Bayesian and ensemble techniques across vision, NLP, and reinforcement learning.
Anjanava Biswas, Wrick Talukdar
This paper explores generative AI for automating SOAP and BIRP clinical note generation from patient-clinician interactions using NLP and ASR.
Pengfei Liu, Weizhe Yuan, Jinlan Fu, et al.
This paper systematically surveys prompt-based learning in NLP, a paradigm where pre-trained language models are adapted to tasks via textual prompts for few-shot or zero-shot learning.