Co-occurring keywords · papers mentioning both
Papers
Does GPT Really Get It? A Hierarchical Scale to Quantify Human and AI’s Understanding of Algorithms
AAAI 2025
Do Language Models Understand the Cognitive Tasks Given to Them? Investigations with the N-Back Paradigm
ACL 2025
A Local-Ascending-Global Learning Strategy for Brain-Computer Interface
AAAI 2024
LawBench: Benchmarking Legal Knowledge of Large Language Models
EMNLP 2024
Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning
ICML 2023
Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies
NeurIPS 2023
Weakly Supervised Neural Symbolic Learning for Cognitive Tasks
AAAI 2022
Artificial Argumentation for Humans
IJCAI 2018
From Automation to Autonomous Systems: A Legal Phenomenology with Problems of Accountability
IJCAI 2017