Ellen Gilsenan-McMahon

According to our database, Ellen Gilsenan-McMahon authored at least 6 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Multi-layer attentive probing improves transfer of audio representations for bioacoustics.

Marius Miron, David Robinson, Masato Hagiwara, Titouan Parcollet, Jules Cauzinille, Gagan Narula, Milad Alizadeh, Ellen Gilsenan-McMahon, Sara Keen, Emmanuel Chemla, Benjamin Hoffman, Maddie Cusimano, Diane Kim, Felix Effenberger, Jane Lawton, Aza Raskin, Olivier Pietquin, Matthieu Geist

CoRR, May, 2026

Beyond the Baseband: Adaptive Multi-Band Encoding for Full-Spectrum Bioacoustics Classification.

Eklavya Sarkar, Marius Miron, David Robinson, Gagan Narula, Milad Alizadeh, Ellen Gilsenan-McMahon, Emmanuel Chemla, Olivier Pietquin, Matthieu Geist

CoRR, April, 2026

BAGEL: Benchmarking Animal Knowledge Expertise in Language Models.

Jiacheng Shen, Masato Hagiwara, Milad Alizadeh, Ellen Gilsenan-McMahon, Marius Miron, David Robinson, Emmanuel Chemla, Sara Keen, Gagan Narula, Mathieu Laurière, Matthieu Geist, Olivier Pietquin

CoRR, April, 2026

2025

What Matters for Bioacoustic Encoding.

Marius Miron, David Robinson, Milad Alizadeh, Ellen Gilsenan-McMahon, Gagan Narula, Emmanuel Chemla, Maddie Cusimano, Felix Effenberger, Masato Hagiwara, Benjamin Hoffman, Sara Keen, Diane Kim, Jane Lawton, Jen-Yu Liu, Aza Raskin, Olivier Pietquin, Matthieu Geist

CoRR, August, 2025

2024

On Leakage of Code Generation Evaluation Datasets.

Alexandre Matton, Tom Sherborne, Dennis Aumiller, Elena Tommasone, Milad Alizadeh, Jingyi He, Raymond Ma, Maxime Voisin, Ellen Gilsenan-McMahon, Matthias Gallé

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2022

StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models.

Adam Liska, Tomás Kociský, Elena Gribovskaya, Tayfun Terzi, Eren Sezener, Devang Agrawal, Cyprien de Masson d'Autume, Tim Scholtes, Manzil Zaheer, Susannah Young, Ellen Gilsenan-McMahon, Sophia Austin, Phil Blunsom, Angeliki Lazaridou

Proceedings of the International Conference on Machine Learning, 2022