Michael A. Lepori

According to our database, Michael A. Lepori authored at least 17 papers between 2020 and 2025.

Collaborative distances:

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

2025

Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility.

Michael A. Lepori, Jennifer Hu, Ishita Dasgupta, Roma Patel, Thomas Serre, Ellie Pavlick

CoRR, July, 2025

Linking forward-pass dynamics in Transformers and real-time human processing.

Jennifer Hu, Michael A. Lepori, Michael Franke

CoRR, April, 2025

Racing Thoughts: Explaining Contextualization Errors in Large Language Models.

Michael A. Lepori, Michael Curtis Mozer, Asma Ghandeharioun

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting.

Suraj Anand, Michael A. Lepori, Jack Merullo, Ellie Pavlick

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Are LLMs Models of Distributional Semantics? A Case Study on Quantifiers.

Enyan Zhang, Zewei Wang, Michael A. Lepori, Ellie Pavlick, Helena Aparicio

CoRR, 2024

Racing Thoughts: Explaining Large Language Model Contextualization Errors.

Michael A. Lepori, Michael Mozer, Asma Ghandeharioun

CoRR, 2024

Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects.

Michael A. Lepori, Alexa R. Tartaglini, Wai Keen Vong, Thomas Serre, Brenden M. Lake, Ellie Pavlick

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Who's asking? User personas and the mechanics of latent misalignment.

Asma Ghandeharioun, Ann Yuan, Marius Guerard, Emily Reif, Michael A. Lepori, Lucas Dixon

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Uncovering Intermediate Variables in Transformers using Circuit Probing.

Michael A. Lepori, Thomas Serre, Ellie Pavlick

CoRR, 2023

Instilling Inductive Biases with Subnetworks.

Enyan Zhang, Michael A. Lepori, Ellie Pavlick

CoRR, 2023

Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations.

Alexa R. Tartaglini, Sheridan Feucht, Michael A. Lepori, Wai Keen Vong, Charles Lovering, Brenden M. Lake, Ellie Pavlick

CoRR, 2023

NeuroSurgeon: A Toolkit for Subnetwork Analysis.

Michael A. Lepori, Ellie Pavlick, Thomas Serre

CoRR, 2023

Break It Down: Evidence for Structural Compositionality in Neural Networks.

Michael A. Lepori, Thomas Serre, Ellie Pavlick

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Can You Hear Me Now? Sensitive Comparisons of Human and Machine Perception.

Michael A. Lepori, Chaz Firestone

Cogn. Sci., 2022

2020

Picking BERT's Brain: Probing for Linguistic Dependencies in Contextualized Embeddings Using Representational Similarity Analysis.

Michael A. Lepori, R. Thomas McCoy

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity Analysis.

Michael A. Lepori

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs.

Michael A. Lepori, Tal Linzen, R. Thomas McCoy

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020