Wout Schellaert

Orcid: 0000-0002-9182-4747

According to our database1, Wout Schellaert authored at least 15 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
The science and practice of proportionality in AI risk evaluations.
CoRR, March, 2026

Predictable artificial intelligence.
Artif. Intell., 2026

2025
Analysing the Predictability of Language Model Performance.
ACM Trans. Intell. Syst. Technol., April, 2025

General interaction battery: Simple object navigation and affordances (GIBSONA).
Cogn. Syst. Res., 2025

PredictaBoard: Benchmarking LLM Score Predictability.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Larger and more instructable language models become less reliable.
Nat., October, 2024

Larger and more instructable language models become less reliable (code and data).
Dataset, September, 2024

Larger and more instructable language models become less reliable (code and data).
Dataset, September, 2024

Larger and More Instructable Language Models Turned Less Reliable (Code and Data).
Dataset, July, 2024

Investigating Object Permanence in Deep Reinforcement Learning Agents.
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

Your Prompt Is My Command: On Assessing the Human-Centred Generality of Multimodal Models (Abstract Reprint).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Your Prompt is My Command: On Assessing the Human-Centred Generality of Multimodal Models.
J. Artif. Intell. Res., 2023

Animal-AI 3: What's New & Why You Should Care.
CoRR, 2023

2022
Reject Before You Run: Small Assessors Anticipate Big Language Models.
Proceedings of the Workshop on AI Evaluation Beyond Metrics co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

Training on the Test Set: Mapping the System-Problem Space in AI.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022


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