McClelland, James L.

Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models

McClelland, J. L., Hill, F., Rudolph, M., Baldridge, J., & Schütze, H. (2020) · Proceedings of the National Academy of Sciences

Neurobiology of Language and BilingualismTopic Modeling

Cited by 91

Environmental drivers of systematicity and generalization in a situated agent

Hill, F., Lampinen, A., Schneider, R., Clark, S., Botvinick, M., McClelland, J. L., & Santoro, A. (2019) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 81

Chapter 5 Understanding failures of learning: Hebbian learning, competition for representational space, and some preliminary experimental data

McClelland, J. L., Thomas, A. G., McCandliss, B. D., & Fiez, J. A. (1999) · Progress in Brain Research

Memory and Neural MechanismsMemory Processes and Influences

Cited by 70

Language models, like humans, show content effects on reasoning tasks

Lampinen, A. K., Dasgupta, I., Chan, S. C. Y., Sheahan, H. R., Creswell, A., Kumaran, D., McClelland, J. L., & Hill, F. (2024) · PNAS Nexus

Logic, Reasoning, and KnowledgeTopic Modeling

Cited by 69

Data Distributional Properties Drive Emergent In-Context Learning in Transformers

Chan, S., Santoro, A., Lampinen, A., Wang, J., Singh, A., Richemond, P., McClelland, J., & Hill, F. (2022) · Advances in Neural Information Processing Systems 35

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 69

Language models show human-like content effects on reasoning tasks

Dasgupta, I., Lampinen, A. K., Chan, S. C. Y., Sheahan, H. R., Creswell, A., Kumaran, D., McClelland, J. L., & Hill, F. (2022) · arXiv

Logic, Reasoning, and KnowledgeTopic Modeling

Cited by 53

Perception and masking of wholes and parts

McClelland, J. L. (1978) · Journal of Experimental Psychology: Human Perception and Performance

Visual perception and processing mechanismsVisual Attention and Saliency Detection

Cited by 46

Tell me why! Explanations support learning relational and causal structure

Lampinen, A. K., Roy, N. A., Dasgupta, I., Chan, S. C. Y., Tam, A. C., McClelland, J. L., Yan, C., Santoro, A., Rabinowitz, N. C., Wang, J. X., et al. (2021) · arXiv

Reinforcement Learning in RoboticsExplainable Artificial Intelligence (XAI)

Cited by 14

On the generalization of language models from in-context learning and finetuning: a controlled study

Lampinen, A. K., Chaudhry, A., Chan, S. C. Y., Wild, C., Wan, D., Ku, A., Bornschein, J., Pascanu, R., Shanahan, M., & McClelland, J. L. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0