TEAMER : Teaching Machines to Reason Like Humans

Status	Active
Effective start/end date	1/10/21 → 31/03/27

Attentive Feature Aggregation or: How policies learn to stop worrying about robustness and attend to task-relevant visual cues
Tsagkas, N., Sochopoulos, A., Danier, D., Vijayakumar, S., Kouris, A., Mac Aodha, O. & Lu, C. X., 16 Jun 2026, (Accepted/In press) Proceedings of the 39th IEEE/RSJ International Conference on Intelligent Robots and Systems. Institute of Electrical and Electronics Engineers, p. 1-8 8 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Benchmarking open-ended multi-agent coordination in language agents
Tessera, K.-A. A., Szecsenyi, A., Barker, C., Rutherford, A., Paglieri, D., Scannell, A., Gouk, H., Storkey, A., Rocktäschel, T. & Crowley, E. J., 6 Jun 2026, ArXiv, p. 1-42, 42 p.
Research output: Working paper › Preprint

File
VLM-RobustBench: A comprehensive benchmark for robustness of vision-language models
Saxena, R., Suglia, A. & Minervini, P., 30 Apr 2026, (Accepted/In press) Proceedings of the 43rd International Conference on Machine Learning. PMLR
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File

Project Details