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Cognitive Modeling

558 directly classified papers

Papers per year

Papers

What Do Hebbian Learners Learn? Reduction Axioms for Iterated Hebbian Learning AAAI 2024
Feedback control guides credit assignment in recurrent neural networks NIPS 2024
Unconditional stability of a recurrent neural circuit implementing divisive normalization NIPS 2024
Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps NIPS 2024
A Local-Ascending-Global Learning Strategy for Brain-Computer Interface AAAI 2024
Development of Cognitive Intelligence in Pre-trained Language Models EMNLP 2024
How to Evaluate Behavioral Models AAAI 2024
Characterizing Similarities and Divergences in Conversational Tones in Humans and LLMs by Sampling with People ACL 2024
Inferring stochastic low-rank recurrent neural networks from neural data NIPS 2024
O2ARC 3.0: A Platform for Solving and Creating ARC Tasks IJCAI 2024
On the Reliability of Psychological Scales on Large Language Models EMNLP 2024
Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning ACL 2024
Multipath parsing in the brain ACL 2024
Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals NIPS 2024
Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation EMNLP 2023
Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding EMNLP 2023
Mind the Biases: Quantifying Cognitive Biases in Language Model Prompting ACL 2023
A Language Model with Limited Memory Capacity Captures Interference in Human Sentence Processing EMNLP 2023
Hi-ToM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models EMNLP 2023
SLABERT Talk Pretty One Day: Modeling Second Language Acquisition with BERT ACL 2023
ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning EMNLP 2023
Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition ACL 2023
Blackbird language matrices (BLM), a new task for rule-like generalization in neural networks: Can Large Language Models pass the test? EMNLP 2023
Decoding Stumpers: Large Language Models vs. Human Problem-Solvers EMNLP 2023
Finding Common Ground: Annotating and Predicting Common Ground in Spoken Conversations EMNLP 2023