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This study presents an innovative enhancement to retrieval-augmented generation (RAG) systems by seamlessly integrating fine-tuned large language models (LLMs) with vector databases.
At home with the homeless: An experience in transcultural communication
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Helping America’s homeless: Emergency shelter or affordable housing?
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Short-term outcomes for youth receiving runaway and homeless shelter services
Sanna J Thompson, David E Pollio, Jodi Constantine, Donna Reid, and Von Nebbitt · 2002
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Adjustment of homeless adolescents to a crisis shelter: Application of a stress and coping model
Melanie M Dalton and Kenneth I Pakenham · 2002
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Barriers that disconnect homeless people and make homelessness difficult to interpret
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Backward haplotype transmission association algorithm - a fast multiple-marker screening method
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Carol Cornsweet Barber, Peter Fonagy, Jim Fultz, Mary Ann Simulinas, and Miranda Yates · 2005
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Shelters for the homeless: Learning from research
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Discovering influential variables: A method of partitions
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Impacting quality of life at a homeless shelter: Measuring the effectiveness of say it straight
Marcy Haag, Tom Wood, and Linda Holloway · 2011
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Understanding transitions in care from hospital to homeless shelter: a mixed-methods, community-based participatory approach
S Ryan Greysen, Rebecca Allen, Georgina I Lucas, Emily A Wang, and Marjorie S Rosenthal · 2012
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Why significant variables aren’t automatically good predictors
Adeline Lo, Herman Chernoff, Tian Zheng, and Shaw-Hwa Lo · 2015
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Framework for making better predictions by directly estimating variables’ predictivity
Adeline Lo, Herman Chernoff, Tian Zheng, and Shaw-Hwa Lo · 2016
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Waiting for shelter: Perspectives on a homeless shelter’s procedures
Molly Brown, Martina Mihelicova, Jennifer Lyons, Jennifer DeFonzo, Samantha Torello, Andrés Carrión, and Allison N Ponce · 2017
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A shelter is not a home: The crisis of family homelessness in the united states
Benard P Dreyer · 2018
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Sheltering risks: Implementation of harm reduction in homeless shelters during an overdose emergency
Bruce Wallace, Katrina Barber, and Bernadette Bernie Pauly · 2018
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“if you’re gonna help me, help me”: Barriers to housing among unsheltered homeless adults
Christina Wusinich, Lynden Bond, Anna Nathanson, and Deborah K Padgett · 2019
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Elderly and homeless: America’s next housing crisis
Fernanda Santos · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al · 2020
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Generation-augmented retrieval for open-domain question answering
Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, and Weizhu Chen · 2020
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Retrieval-augmented generation for code summarization via hybrid gnn
Shangqing Liu, Yu Chen, Xiaofei Xie, Jingkai Siow, and Yang Liu · 2020
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Retrieval-augmented controllable review generation
Jihyeok Kim, Seungtaek Choi, Reinald Kim Amplayo, and Seung-won Hwang · 2020
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Intrinsic dimensionality explains the effectiveness of language model fine-tuning
Armen Aghajanyan, Luke Zettlemoyer, and Sonal Gupta · 2020
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Disparities in communication among the inpatient homeless population at a safety-net hospital
Cristina Vellozzi-Averhoff, William W Thompson, Claudia Vellozzi, Ike Okosun, Kathy Kinlaw, and Jada Bussey-Jones · 2021
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An interaction-based convolutional neural network (icnn) toward a better understanding of covid-19 x-ray images
Shaw-Hwa Lo and Yiqiao Yin · 2021
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A novel interaction-based methodology towards explainable ai with better understanding of pneumonia chest x-ray images
Shaw-Hwa Lo and Yiqiao Yin · 2021
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Language semantics interpretation with an interaction-based recurrent neural network
Shaw-Hwa Lo and Yiqiao Yin · 2021
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To repeat or not to repeat: Insights from scaling llm under token-crisis
Fuzhao Xue, Yao Fu, Wangchunshu Zhou, Zangwei Zheng, and Yang You · 2023
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Aibek Bekbayev, Sungbae Chun, Yerzat Dulat, and James Yamazaki · 2023
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Qlora: Efficient finetuning of quantized llms
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer · 2023
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Loftq: Lora-fine-tuning-aware quantization for large language models
Yixiao Li, Yifan Yu, Chen Liang, Pengcheng He, Nikos Karampatziakis, Weizhu Chen, and Tuo Zhao · 2023
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Modulora: Finetuning 3-bit llms on consumer gpus by integrating with modular quantizers
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From crisis to housing: A comparison of select homeless shelters from across the united states
Jonathan Spiegler, Carlos Güereca, Dominic McQuerry, and Erin Troedson · 2022
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Recent advances in retrieval-augmented text generation
Deng Cai, Yan Wang, Lemao Liu, and Shuming Shi · 2022
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A survey on retrieval-augmented text generation
Huayang Li, Yixuan Su, Deng Cai, Yan Wang, and Lemao Liu · 2022
Cited alongside, same era.
Retrieval-augmented reinforcement learning
Anirudh Goyal, Abram Friesen, Andrea Banino, Theophane Weber, Nan Rosemary Ke, Adria Puigdomenech Badia, Arthur Guez, Mehdi Mirza, Peter C Humphreys, Ksenia Konyushova, et al · 2022
Cited alongside, same era.
Retrieval-augmented diffusion models
Andreas Blattmann, Robin Rombach, Kaan Oktay, Jonas Müller, and Björn Ommer · 2022
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Retrieval-augmented multilingual keyphrase generation with retriever-generator iterative training
Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, and Michael R Lyu · 2022
Cited alongside, same era.
Examining communication for homeless populations in times of crises
Brittany “Brie” Haupt and Karen D Sweeting · 2023
Cited alongside, same era.
Junjie Yin, Jiahao Dong, Yingheng Wang, Christopher De Sa, and Volodymyr Kuleshov · 2023
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Machine translation with large language models: Prompting, few-shot learning, and fine-tuning with qlora
Xuan Zhang, Navid Rajabi, Kevin Duh, and Philipp Koehn · 2023
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Qa-lora: Quantization-aware low-rank adaptation of large language models
Yuhui Xu, Lingxi Xie, Xiaotao Gu, Xin Chen, Heng Chang, Hengheng Zhang, Zhensu Chen, Xiaopeng Zhang, and Qi Tian · 2023
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Lq-lora: Low-rank plus quantized matrix decomposition for efficient language model finetuning
Han Guo, Philip Greengard, Eric P Xing, and Yoon Kim · 2023
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Yixuan Weng, Zhiqi Wang, Huanxuan Liao, Shizhu He, Shengping Liu, Kang Liu, and Jun Zhao · 2023
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Retrieval-augmented generation for large language models: A survey
Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, and Haofen Wang · 2023
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Active retrieval augmented generation
Zhengbao Jiang, Frank F Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, and Graham Neubig · 2023
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Benchmarking large language models in retrieval-augmented generation
Jiawei Chen, Hongyu Lin, Xianpei Han, and Le Sun · 2023
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Improving the domain adaptation of retrieval augmented generation (rag) models for open domain question answering
Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen, Tharindu Kaluarachchi, Rajib Rana, and Suranga Nanayakkara · 2023
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Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score
Xuan Di, Yiqiao Yin, Yongjie Fu, Zhaobin Mo, Shaw-Hwa Lo, Carolyn DiGuiseppi, David W Eby, Linda Hill, Thelma J Mielenz, David Strogatz, et al · 2023
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Efficientdm: Efficient quantization-aware fine-tuning of low-bit diffusion models
Yefei He, Jing Liu, Weijia Wu, Hong Zhou, and Bohan Zhuang · 2023
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Esmbind and qbind: Lora, qlora, and esm-2 for predicting binding sites and post translational modification
Amelie Schreiber · 2023
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Delta-lora: Fine-tuning high-rank parameters with the delta of low-rank matrices
Bojia Zi, Xianbiao Qi, Lingzhi Wang, Jianan Wang, Kam-Fai Wong, and Lei Zhang · 2023
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Large language models in uro-oncology
Dyke Ferber and Jakob Nikolas Kather · 2024
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An empirical study on usage and perceptions of llms in a software engineering project
Sanka Rasnayaka, Guanlin Wang, Ridwan Shariffdeen, and Ganesh Neelakanta Iyer · 2024
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Quantized side tuning: Fast and memory-efficient tuning of quantized large language models
Zhengxin Zhang, Dan Zhao, Xupeng Miao, Gabriele Oliaro, Qing Li, Yong Jiang, and Zhihao Jia · 2024
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L4q: Parameter efficient quantization-aware training on large language models via lora-wise lsq
Hyesung Jeon, Yulhwa Kim, and Jae-joon Kim · 2024
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Retrieval augmentation of large language models for lay language generation
Yue Guo, Wei Qiu, Gondy Leroy, Sheng Wang, and Trevor Cohen · 2024
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Chain of lora: Efficient fine-tuning of language models via residual learning
Wenhan Xia, Chengwei Qin, and Elad Hazan · 2024
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