AI
How to Train a Critic Stably and Efficiently
Researchers from the University of Singapore have developed a new method for training critics in rei...
AI
A Survey on Human-AI Collaboration with Large Foundation Models
A recent survey on human-AI collaboration with large foundation models highlights the importance of ...
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 p...
AI
Practical Principles for AI Cost and Compute Accounting
Policymakers are using development cost and compute as indicators of AI capabili...
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 (...