Grid2Guide: A* Enabled Small Language Model for Indoor Navigation
Fuente:
arXiv
Saved in:
| Main Authors: | Haque, Md. Wasiul, Dasgupta, Sagar, Rahman, Mizanur |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Vision-Based Localization and LLM-based Navigation for Indoor Environments
by: Rahimi, Keyan, et al.
Published: (2025)
by: Rahimi, Keyan, et al.
Published: (2025)
Security Vulnerabilities in Software Supply Chain for Autonomous Vehicles
by: Haque, Md Wasiul, et al.
Published: (2025)
by: Haque, Md Wasiul, et al.
Published: (2025)
Experimental Validation of Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles
by: Dasgupta, Sagar, et al.
Published: (2024)
by: Dasgupta, Sagar, et al.
Published: (2024)
LLM-Guided Indoor Navigation with Multimodal Map Understanding
by: Coffrini, Alberto, et al.
Published: (2025)
by: Coffrini, Alberto, et al.
Published: (2025)
The Laminar Flow Hypothesis: Detecting Jailbreaks via Semantic Turbulence in Large Language Models
by: Rahman, Md. Hasib Ur
Published: (2025)
by: Rahman, Md. Hasib Ur
Published: (2025)
Quantum-Classical Hybrid Framework for Zero-Day Time-Push GNSS Spoofing Detection
by: Enan, Abyad, et al.
Published: (2025)
by: Enan, Abyad, et al.
Published: (2025)
Relative Positioning Based Code Chunking Method For Rich Context Retrieval In Repository Level Code Completion Task With Code Language Model
by: Rahman, Imranur, et al.
Published: (2025)
by: Rahman, Imranur, et al.
Published: (2025)
How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?
by: Liu, Ryan, et al.
Published: (2024)
by: Liu, Ryan, et al.
Published: (2024)
Interpretable Physics-Informed Load Forecasting for U.S. Grid Resilience: SHAP-Guided Ensemble Validation in Hybrid Deep Learning Under Extreme Weather
by: Abubakkar, Md, et al.
Published: (2026)
by: Abubakkar, Md, et al.
Published: (2026)
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations
by: Laskar, Md Tahmid Rahman, et al.
Published: (2024)
by: Laskar, Md Tahmid Rahman, et al.
Published: (2024)
A Small Math Model: Recasting Strategy Choice Theory in an LLM-Inspired Architecture
by: Rahman, Roussel, et al.
Published: (2025)
by: Rahman, Roussel, et al.
Published: (2025)
Location Agnostic Adaptive Rain Precipitation Prediction using Deep Learning
by: Islam, Md Shazid, et al.
Published: (2024)
by: Islam, Md Shazid, et al.
Published: (2024)
How does the Performance of the Data-driven Traffic Flow Forecasting Models deteriorate with Increasing Forecasting Horizon? An Extensive Approach Considering Statistical, Machine Learning and Deep Learning Models
by: Sherfenaz, Amanta, et al.
Published: (2025)
by: Sherfenaz, Amanta, et al.
Published: (2025)
StackLiverNet: A Novel Stacked Ensemble Model for Accurate and Interpretable Liver Disease Detection
by: Haque, Md. Ehsanul, et al.
Published: (2025)
by: Haque, Md. Ehsanul, et al.
Published: (2025)
Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
Bank Loan Prediction Using Machine Learning Techniques
by: Haque, F M Ahosanul, et al.
Published: (2024)
by: Haque, F M Ahosanul, et al.
Published: (2024)
Hallucination to Truth: A Review of Fact-Checking and Factuality Evaluation in Large Language Models
by: Rahman, Subhey Sadi, et al.
Published: (2025)
by: Rahman, Subhey Sadi, et al.
Published: (2025)
Decentralized Federated Anomaly Detection in Smart Grids: A P2P Gossip Approach
by: Husnoo, Muhammad Akbar, et al.
Published: (2024)
by: Husnoo, Muhammad Akbar, et al.
Published: (2024)
AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems
by: Pasricha, Sudeep
Published: (2024)
by: Pasricha, Sudeep
Published: (2024)
Post-Training Quantization of Generative and Discriminative LSTM Text Classifiers: A Study of Calibration, Class Balance, and Robustness
by: Rahaman, Md Mushfiqur, et al.
Published: (2025)
by: Rahaman, Md Mushfiqur, et al.
Published: (2025)
EffGen: Enabling Small Language Models as Capable Autonomous Agents
by: Srivastava, Gaurav, et al.
Published: (2026)
by: Srivastava, Gaurav, et al.
Published: (2026)
Beyond Labels: Aligning Large Language Models with Human-like Reasoning
by: Kabir, Muhammad Rafsan, et al.
Published: (2024)
by: Kabir, Muhammad Rafsan, et al.
Published: (2024)
Knowledge Graph Modeling-Driven Large Language Model Operating System (LLM OS) for Task Automation in Process Engineering Problem-Solving
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
LeMo-NADe: Multi-Parameter Neural Architecture Discovery with LLMs
by: Rahman, Md Hafizur, et al.
Published: (2024)
by: Rahman, Md Hafizur, et al.
Published: (2024)
Confidence-Modulated Speculative Decoding for Large Language Models
by: Sen, Jaydip, et al.
Published: (2025)
by: Sen, Jaydip, et al.
Published: (2025)
Indoor Localization using Compact, Telemetry-Agnostic, Transfer-Learning Enabled Decoder-Only Transformer
by: Bhatia, Nayan Sanjay, et al.
Published: (2025)
by: Bhatia, Nayan Sanjay, et al.
Published: (2025)
Learning to Guide Local Search for MPE Inference in Probabilistic Graphical Models
by: Malhotra, Brij, et al.
Published: (2026)
by: Malhotra, Brij, et al.
Published: (2026)
Strategic Fusion Optimizes Transformer Compression
by: Rahman, Md Shoaibur
Published: (2025)
by: Rahman, Md Shoaibur
Published: (2025)
Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
by: Srinivas, Sakhinana Sagar, et al.
Published: (2024)
ELSA: A Style Aligned Dataset for Emotionally Intelligent Language Generation
by: Gandhi, Vishal, et al.
Published: (2025)
by: Gandhi, Vishal, et al.
Published: (2025)
Predicting Short Term Energy Demand in Smart Grid: A Deep Learning Approach for Integrating Renewable Energy Sources in Line with SDGs 7, 9, and 13
by: Miah, Md Saef Ullah, et al.
Published: (2023)
by: Miah, Md Saef Ullah, et al.
Published: (2023)
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand
by: Rahman, Md Musfiqur, et al.
Published: (2024)
by: Rahman, Md Musfiqur, et al.
Published: (2024)
Learnware of Language Models: Specialized Small Language Models Can Do Big
by: Tan, Zhi-Hao, et al.
Published: (2025)
by: Tan, Zhi-Hao, et al.
Published: (2025)
HaorFloodAlert: Deseasonalized ML Ensemble for 72-Hour Flood Prediction in Bangladesh Haor Wetlands
by: Koli, Salma Hoque Talukdar, et al.
Published: (2026)
by: Koli, Salma Hoque Talukdar, et al.
Published: (2026)
Breaking the Grid: Distance-Guided Reinforcement Learning in Large Discrete Action Spaces
by: Hoppe, Heiko, et al.
Published: (2026)
by: Hoppe, Heiko, et al.
Published: (2026)
RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations
by: Marchesini, Enrico, et al.
Published: (2025)
by: Marchesini, Enrico, et al.
Published: (2025)
Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
Small or Large? Zero-Shot or Finetuned? Guiding Language Model Choice for Specialized Applications in Healthcare
by: Gondara, Lovedeep, et al.
Published: (2025)
by: Gondara, Lovedeep, et al.
Published: (2025)
Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models
by: Islam, Shayekh Bin, et al.
Published: (2024)
by: Islam, Shayekh Bin, et al.
Published: (2024)
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference
by: Rahman, Md Musfiqur, et al.
Published: (2024)
by: Rahman, Md Musfiqur, et al.
Published: (2024)
Similar Items
-
Vision-Based Localization and LLM-based Navigation for Indoor Environments
by: Rahimi, Keyan, et al.
Published: (2025) -
Security Vulnerabilities in Software Supply Chain for Autonomous Vehicles
by: Haque, Md Wasiul, et al.
Published: (2025) -
Experimental Validation of Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles
by: Dasgupta, Sagar, et al.
Published: (2024) -
LLM-Guided Indoor Navigation with Multimodal Map Understanding
by: Coffrini, Alberto, et al.
Published: (2025) -
The Laminar Flow Hypothesis: Detecting Jailbreaks via Semantic Turbulence in Large Language Models
by: Rahman, Md. Hasib Ur
Published: (2025)