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Found 6 papers, 3 papers with code
Imitation Learning: A Survey of Learning Methods, Environments and Metrics
Imitation learning is an approach in which an agent learns how to execute a task by trying to mimic how one or more teachers perform it.
Visual Analytics for Fine-grained Text Classification Models and Datasets
As a consequence, the semantic structures of datasets have become more complex, and model decisions more difficult to explain.
Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking
Imitation learning field requires expert data to train agents in a task.
AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation
The advancement of natural language processing (NLP) has been significantly boosted by the development of transformer-based large language models (LLMs).
Ranked #1 on
Code Generation
on HumanEval
Collaborative filtering to capture AI user's preferences as norms
Customising AI technologies to each user's preferences is fundamental to them functioning well.
Predicting Privacy Preferences for Smart Devices as Norms
Smart devices, such as smart speakers, are becoming ubiquitous, and users expect these devices to act in accordance with their preferences.
