[2405.19519] Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study

[2405.19519] Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study
[Submitted on 29 May 2024 (v1), last revised 7 Jan 2025 (this version, v2)] Authors:Sudeshna Das, Yao Ge, Yuting Guo, ...
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[2402.14746] Scaling Efficient LLMs

[2405.19519] Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study
[Submitted on 22 Feb 2024 (v1), last revised 7 Jan 2025 (this version, v3)] View a PDF of the paper ...
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[2412.16926] Revisiting In-Context Learning with Long Context Language Models

[2405.19519] Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study
[Submitted on 22 Dec 2024 (v1), last revised 6 Jan 2025 (this version, v2)] View a PDF of the paper ...
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[2312.01837] Prompting Disentangled Embeddings for Knowledge Graph Completion with Pre-trained Language Model

[2405.19519] Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study
[Submitted on 4 Dec 2023 (v1), last revised 3 Jan 2025 (this version, v2)] View a PDF of the paper ...
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Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

[2405.19519] Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study
[Submitted on 2 Jan 2025 (v1), last revised 3 Jan 2025 (this version, v2)] View a PDF of the paper ...
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Aligning Large Language Models for Faithful Integrity Against Opposing Argument

[2405.19519] Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study
arXiv:2501.01336v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated impressive capabilities in complex reasoning tasks. However, they can ...
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Unleashing Text-to-Image Diffusion Prior for Zero-Shot Image Captioning

[2405.19519] Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study
arXiv:2501.00437v1 Announce Type: cross Abstract: Recently, zero-shot image captioning has gained increasing attention, where only text data is available for ...
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A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports

[2405.19519] Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study
[Submitted on 17 Dec 2024 (v1), last revised 30 Dec 2024 (this version, v2)] View a PDF of the paper ...
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Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

[2405.19519] Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study
[Submitted on 4 Nov 2024 (v1), last revised 28 Dec 2024 (this version, v2)] Authors:Fali Wang, Zhiwei Zhang, Xianren Zhang, ...
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[2412.16576] Open-Vocabulary Mobile Manipulation Based on Double Relaxed Contrastive Learning with Dense Labeling

[2405.19519] Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study
[Submitted on 21 Dec 2024 (v1), last revised 24 Dec 2024 (this version, v2)] View a PDF of the paper ...
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