The field of large language models (LLMs) is rapidly advancing, with innovative applications in various domains. A key direction is the integration of LLMs with other technologies, such as simulation tools, to provide real-time support and decision-making capabilities. For instance, LLMs are being used to improve aviation safety by generating context-aware recommendations for pilots. Another area of focus is the development of more efficient and accurate methods for evaluating LLM performance, particularly in complex scenarios involving long question-context-answer triplets. Noteworthy papers in this regard include LeRAAT, which introduces a framework for real-time aviation advisory tools, and LLM-Drone, which proposes the use of LLMs for aerial additive manufacturing. These papers demonstrate the potential of LLMs to transform various industries and applications.
Advances in Large Language Models for Complex Applications
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LeRAAT: LLM-Enabled Real-Time Aviation Advisory Tool
Highlighting Case Studies in LLM Literature Review of Interdisciplinary System Science
A Foundational individual Mobility Prediction Model based on Open-Source Large Language Models
AUV Acceleration Prediction Using DVL and Deep Learning
Extract, Match, and Score: An Evaluation Paradigm for Long Question-context-answer Triplets in Financial Analysis
Efficient Intent-Based Filtering for Multi-Party Conversations Using Knowledge Distillation from LLMs
LLM-Drone: Aerial Additive Manufacturing with Drones Planned Using Large Language Models
Instructing the Architecture Search for Spatial-temporal Sequence Forecasting with LLM
Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code
LLMs as Planning Modelers: A Survey for Leveraging Large Language Models to Construct Automated Planning Models
LLM-Based Insight Extraction for Contact Center Analytics and Cost-Efficient Deployment
Innovative LSGTime Model for Crime Spatiotemporal Prediction Based on MindSpore Framework
Mobile-MMLU: A Mobile Intelligence Language Understanding Benchmark
Leveraging Large Language Models for Risk Assessment in Hyperconnected Logistic Hub Network Deployment
Large Language Models for Traffic and Transportation Research: Methodologies, State of the Art, and Future Opportunities
A Data-Driven Method for INS/DVL Alignment
Using large language models to produce literature reviews: Usages and systematic biases of microphysics parametrizations in 2699 publications
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap
Leveraging Language Models for Analyzing Longitudinal Experiential Data in Education
Data-Driven Extreme Response Estimation
Enhancing Underwater Navigation through Cross-Correlation-Aware Deep INS/DVL Fusion
A Multi-Modal Knowledge-Enhanced Framework for Vessel Trajectory Prediction