Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation | Paper Citation Record

Observation 5fa19d0f-9669-44ec-a21a-64d7e2a13799 · outbound

This paper cites Revisiting im2gps in the deep learning era,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Revisiting im2gps in the deep learning era,

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This paper cites Using twitter data to monitor natural disaster social dynamics: A recurrent neural net- work approach with word embeddings and kernel density estimation,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Using twitter data to monitor natural disaster social dynamics: A recurrent neural net- work approach with word embeddings and kernel density estimation,

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This paper cites Suwaileh, T.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Suwaileh, T

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This paper cites True lies in geospatial big data: detecting location spoofing in social media,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation True lies in geospatial big data: detecting location spoofing in social media,

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This paper cites Geotagging text content with language models and feature mining,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Geotagging text content with language models and feature mining,

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This paper cites Geolocalization and navigation by visible light communication to ad- dress automated logistics control,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Geolocalization and navigation by visible light communication to ad- dress automated logistics control,

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This paper cites Ubiquitous real-time geo- spatial localization,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Ubiquitous real-time geo- spatial localization,

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This paper cites Single-image localisation using 3d models: Combining hierarchical edge maps and semantic segmentation for domain adap- tation,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Single-image localisation using 3d models: Combining hierarchical edge maps and semantic segmentation for domain adap- tation,

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This paper cites Analysing gender differences in the perceived safety from street view imagery,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Analysing gender differences in the perceived safety from street view imagery,

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This paper cites Multi-level urban street representation with street-view imagery and hybrid se- mantic graph,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Multi-level urban street representation with street-view imagery and hybrid se- mantic graph,

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This paper cites Street view imagery in urban analytics and gis: A review,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Street view imagery in urban analytics and gis: A review,

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This paper cites Global streetscapes – a comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Global streetscapes – a comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics,

Reference 12

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This paper cites OpenStreetView-5M: The Many Roads to Global Visual Geolocation.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation OpenStreetView-5M: The Many Roads to Global Visual Geolocation

Reference 13

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This paper cites Are these from the same place? seeing the unseen in cross-view image geo- localization,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Are these from the same place? seeing the unseen in cross-view image geo- localization,

Reference 14

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This paper cites Geolocation by light: accuracy and precision affected by environmen- tal factors,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Geolocation by light: accuracy and precision affected by environmen- tal factors,

Reference 15

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This paper cites Season-invariant gnss-denied visual localization for uavs,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Season-invariant gnss-denied visual localization for uavs,

Reference 16

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Observation 43e8d0de-3932-4722-b3f0-0c164c4545df · outbound

This paper cites Language Models are Few-Shot Learners.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Language Models are Few-Shot Learners

Reference 17

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This paper cites A survey on multimodal large language models,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation A survey on multimodal large language models,

Reference 18

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This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 19

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This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 20

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This paper cites A review on large language models: Architectures, applications, taxonomies, open issues and challenges,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation A review on large language models: Architectures, applications, taxonomies, open issues and challenges,

Reference 21

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This paper cites GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems

Reference 22

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This paper cites Im2gps: estimating geographic information from a single image,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Im2gps: estimating geographic information from a single image,

Reference 23

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This paper cites Planet-photo ge- olocation with convolutional neural networks,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Planet-photo ge- olocation with convolutional neural networks,

Reference 24

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This paper cites Learning transferable visual models from natural language supervision,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Learning transferable visual models from natural language supervision,

Reference 25

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This paper cites Sigmoid loss for language image pre-training,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Sigmoid loss for language image pre-training,

Reference 26

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This paper cites Blip-2: Boot- strapping language-image pre-training with frozen image encoders and large language models,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Blip-2: Boot- strapping language-image pre-training with frozen image encoders and large language models,

Reference 27

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This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation DINOv2: Learning Robust Visual Features without Supervision

Reference 28

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This paper cites Attention Is All You Need.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Attention Is All You Need

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Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation RoBERTa: A Robustly Optimized BERT Pretraining Approach

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Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation PaLM: Scaling Language Modeling with Pathways

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Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation LLaMA: Open and Efficient Foundation Language Models

Reference 33

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This paper cites GPT-4 Technical Report.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation GPT-4 Technical Report

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Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Visual Instruction Tuning

Reference 35

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This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

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This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation MiniCPM-V: A GPT-4V Level MLLM on Your Phone

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This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 38

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This paper cites The Llama 3 Herd of Models.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation The Llama 3 Herd of Models

Reference 39

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This paper cites Show 11 and tell: A neural image caption generator,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Show 11 and tell: A neural image caption generator,

Reference 40

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This paper cites Deep visual-semantic align- ments for generating image descriptions,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Deep visual-semantic align- ments for generating image descriptions,

Reference 41

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Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Vqa: Visual question answering,

Reference 42

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Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation VSE++: Improving Visual-Semantic Embeddings with Hard Negatives

Reference 43

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This paper cites Vilbert: Pre- training task-agnostic visiolinguistic representations for vision-and-language tasks,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Vilbert: Pre- training task-agnostic visiolinguistic representations for vision-and-language tasks,

Reference 44

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This paper cites Img2loc: Revisiting image geolocaliza- tion using multi-modality foundation models and image- based retrieval-augmented generation,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Img2loc: Revisiting image geolocaliza- tion using multi-modality foundation models and image- based retrieval-augmented generation,

Reference 45

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This paper cites Large-scale image geolocal- ization,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Large-scale image geolocal- ization,

Reference 46

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This paper cites What makes paris look like paris?.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation What makes paris look like paris?

Reference 47

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Observation ec9d0991-4e47-4dd2-8ef8-afd231c9a84c · outbound

This paper cites Ge- olocation estimation of photos using a hierarchical model and scene classification,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Ge- olocation estimation of photos using a hierarchical model and scene classification,

Reference 48

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This paper cites Cplanet: Enhancing image geolocalization by combinatorial par- titioning of maps,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Cplanet: Enhancing image geolocalization by combinatorial par- titioning of maps,

Reference 49

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Observation 390b479b-8aca-4e18-8c60-f7c1dfd23d13 · outbound

This paper cites Where in the world is this image? transformer-based geo-localization in the wild,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Where in the world is this image? transformer-based geo-localization in the wild,

Reference 50

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This paper cites Where we are and what we’re looking at: Query based worldwide image geo-localization using hierarchies and scenes,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Where we are and what we’re looking at: Query based worldwide image geo-localization using hierarchies and scenes,

Reference 51

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Observation aa5af6f2-8168-400d-9857-daf113528395 · outbound

This paper cites Transgeo: Transformer is all you need for cross-view image geo-localization,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Transgeo: Transformer is all you need for cross-view image geo-localization,

Reference 52

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Observation d7573abb-40f9-48b6-b838-05d718823ca5 · outbound

This paper cites Joint representation learning and keypoint detection for cross-view geo-localization,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Joint representation learning and keypoint detection for cross-view geo-localization,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:52.830862Z

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Observation bdeecf7a-b745-4f32-b58b-6bac9ee8931b · outbound

This paper cites Cross-view geo-localization via learning disentangled geometric layout correspondence,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Cross-view geo-localization via learning disentangled geometric layout correspondence,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:52.674128Z

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Observation bf70c786-b281-4264-959d-8b9a991d6abd · outbound

This paper cites The benchmarking initiative for multimedia evaluation: Mediaeval 2016,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation The benchmarking initiative for multimedia evaluation: Mediaeval 2016,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:52.524673Z

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Observation f1089739-13c9-429e-b772-dbdf4d26438f · outbound

This paper cites Inter- pretable semantic photo geolocation,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Inter- pretable semantic photo geolocation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:52.385187Z

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Observation 9c300b8b-4080-48a5-a405-fab3e6ac5a58 · outbound

This paper cites The faiss library,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation The faiss library,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T12:44:45.180435Z

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Observation 6b59d702-478d-4748-9765-736baf23ce6f · outbound

This paper cites Billion-scale similarity search with gpus,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Billion-scale similarity search with gpus,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:52.215129Z

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Observation d07ba2f8-7eb1-4b40-bef2-faa9cf972975 · outbound

This paper cites Yfcc100m: The new data in multimedia research,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Yfcc100m: The new data in multimedia research,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:52.074636Z

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Observation 959b2052-497d-4fcd-bcb4-4a0ffbe65d30 · outbound

This paper cites Geopositioning accuracy assess- ment of geoeye-1 panchromatic and multispectral im- agery,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Geopositioning accuracy assess- ment of geoeye-1 panchromatic and multispectral im- agery,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:51.957721Z

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Observation e993cba4-d829-4ba5-a004-f6081c766d98 · outbound

This paper cites Autonomous smartphone-based wifi positioning system by using access points localization and crowdsourcing,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Autonomous smartphone-based wifi positioning system by using access points localization and crowdsourcing,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:51.803318Z

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Observation 61f78d01-b827-4d49-9096-c970a99a6bb6 · outbound

This paper cites A faster and more effective cross-view matching method of uav and satellite images for uav geolocalization,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation A faster and more effective cross-view matching method of uav and satellite images for uav geolocalization,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:51.613103Z

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Observation 8aeead03-afc3-4fad-baf3-d540f0bf5a74 · outbound

This paper cites Efficient localisation using images and open- streetmaps,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Efficient localisation using images and open- streetmaps,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:51.440018Z

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Observation 4f5cec11-b144-453e-b553-abd7e0dd097c · outbound

This paper cites Automatic discovery and geotagging of objects from street view imagery,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Automatic discovery and geotagging of objects from street view imagery,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:51.294148Z

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Observation c3a3bb35-a88f-4089-a5e0-90f4563999ed · outbound

This paper cites Swin transformer: Hierarchical vi- sion transformer using shifted windows,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Swin transformer: Hierarchical vi- sion transformer using shifted windows,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:51.109136Z

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Observation 6263de81-4f9a-4ef4-ba6f-e56112e6c771 · outbound

This paper cites Pigeon: Predicting image geolocations,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Pigeon: Predicting image geolocations,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:50.940559Z

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Observation d03ea6a7-3a1a-4523-849d-a31a1b2b85e6 · outbound

This paper cites Geoclip: Clip-inspired alignment between locations and images for effective worldwide geo-localization,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Geoclip: Clip-inspired alignment between locations and images for effective worldwide geo-localization,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:50.819586Z

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Observation f7239308-2b12-4de0-a9a4-ed0315e71564 · outbound

This paper cites Openclip,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Openclip,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-05T12:44:46.309752Z

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Observation dc2a882b-f5af-4897-8be7-d3fe031030d6 · outbound

This paper cites Learning generalized zero-shot learners for open-domain image geolocaliza- tion,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Learning generalized zero-shot learners for open-domain image geolocaliza- tion,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:50.702106Z

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Observation dcbbb522-3ff9-461f-ba18-988243d79354 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-05T12:44:46.492478Z

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Observation 1da6a83b-226e-4666-88dc-2d8016bebf4a · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-05T12:44:46.547977Z

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Observation f76c6ad0-07e8-41bb-8f08-e68aeee0b328 · outbound

This paper cites Pixtral 12B.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Pixtral 12B

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-05T12:44:46.631322Z

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Observation 748abe4c-ecc3-4ce2-9b2c-bce63cc6da9b · outbound

This paper cites Aria: An Open Multimodal Native Mixture-of-Experts Model.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T12:44:46.702453Z

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Observation d7bc1fa8-78b5-4306-97a3-7c91d1fc4885 · outbound

This paper cites Hugging Face,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Hugging Face,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:50.551802Z

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Observation 6d1b235c-0761-47ee-8af3-9719f156e79b · outbound

This paper cites A Survey on Evaluation of Multimodal Large Language Models.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation A Survey on Evaluation of Multimodal Large Language Models

Reference 75

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Observation 9f9b6e5e-2f7f-489f-be1b-af083429b68e · outbound

This paper cites M3exam: A multilingual, multimodal, multilevel bench- mark for examining large language models,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation M3exam: A multilingual, multimodal, multilevel bench- mark for examining large language models,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:50.430619Z

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Observation a9fe15fb-3c3f-4370-9789-cd2c7f631c8e · outbound

This paper cites Lvlm-ehub: A comprehensive evaluation benchmark for large vision- language models,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Lvlm-ehub: A comprehensive evaluation benchmark for large vision- language models,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:50.276940Z

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Observation d7caa79b-4a75-4fcf-83cd-f4e60c6b36c5 · outbound

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Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Seed-bench: Benchmarking multimodal large language models,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:50.105747Z

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Observation 67d6ef8a-69c1-45b1-bcef-c86b5667d0fa · outbound

This paper cites AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Reference 79

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Observation c42a2240-f37c-4717-9db7-cab6652f3bba · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-05T12:44:47.201600Z

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Observation 8e712d0c-016b-4fd6-97d5-71b4cbd335f7 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-05T12:44:47.296569Z

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Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation python-pillow/pillow: 11.0.0,

Reference 82

Resolution: verified exact; doi, observed 2026-08-05T12:44:48.175217Z

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Observation 751105cc-5dd3-4d25-bef7-a8c1233ea7bd · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-05T12:44:47.435962Z

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Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation pandas-dev/pandas: Pandas,

Reference 84

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Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Efficient memory management for large language model serv- ing with pagedattention,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:49.914094Z

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Observation 0eedb2b4-04ce-4b73-b53b-a79dbc5d5de8 · outbound

This paper cites Lmdeploy: A toolkit for compress- ing, deploying, and serving llm,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Lmdeploy: A toolkit for compress- ing, deploying, and serving llm,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:49.714858Z

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Observation f9858eb9-10ad-4877-8281-99f34e16d669 · outbound

This paper cites Openai api reference - create chat com- pletion,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Openai api reference - create chat com- pletion,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:49.504315Z

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Observation 311f3814-ee22-4dbb-88d1-794690adb77f · outbound

This paper cites Api documentation - sampling parameters,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Api documentation - sampling parameters,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:49.383932Z

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Observation 5038e851-277a-448e-9b02-124b67325bd8 · outbound

This paper cites Geopy - geocoding library for python,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Geopy - geocoding library for python,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:49.263319Z

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Observation 8b4b807c-fa9b-4e93-acda-433c080f0f2a · outbound

This paper cites Georeasoner: Geo-localization with reasoning in street views using a large vision-language model,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Georeasoner: Geo-localization with reasoning in street views using a large vision-language model,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:44:49.086279Z

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Observation caab90b3-e5d4-4210-b7f7-ae246b814f48 · outbound

This paper cites Mixed land use measurement and mapping with street view images and spatial context-aware prompts via zero-shot multi- modal learning,.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Mixed land use measurement and mapping with street view images and spatial context-aware prompts via zero-shot multi- modal learning,

Reference 91

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Observation d71bd453-1c6a-473e-a8bb-beba2eeef0d7 · outbound

This paper cites Available: https://www.sciencedirect.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Available: https://www.sciencedirect

Reference 2022

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Observation b35bafec-c252-40b3-80dc-c3cb4e79a603 · outbound

This paper cites Available: http://dx.doi.org/10.1093/nsr/ nwae403.

Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation Available: http://dx.doi.org/10.1093/nsr/ nwae403

Reference 2024

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