AI
Memory-Enhanced Neural Solvers for Routing Problems
Researchers have developed a new approach called MEMENTO to improve the performance of neural solver...
AI
Evaluating Large Language Models for automatic analysis of teacher simulations
Researchers evaluated two large language models (LLMs) to analyze responses from digital simulations...
AI
Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspective
The paper surveys neural-symbolic reasoning over knowledge graphs from a query perspective. It revie...
AI
Practical Principles for AI Cost and Compute Accounting
Policymakers are using development cost and compute as indicators of AI capabilities and risks. Howe...
AI
Benchmarking Retrieval-Augmented Generation Strategies for Large Language Model-Based Travel Mode Choice Prediction
Researchers have developed a framework for using Large Language Models (LLMs) to...
AI
Beyond Benchmarks: LLM Evaluation with an Anthropomorphic and Lifecycle-oriented Roadmap
Researchers have proposed a new framework for evaluating large language models (...
AI
Beyond Benchmarking: Scenario-Based Evaluation of Large Language Models for Personalized Learning
Researchers have proposed a new framework for evaluating large language models' ...
AI
MACD: Multi-Agent Clinical Diagnosis with Self-Learned Knowledge for LLM
Researchers have developed a framework called MACD for large language models (LL...