The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories | Paper Citation Record

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Large Language Models for Mathematical Reasoning: Progresses and Challenges

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Perceptions of Linguistic Uncertainty by Language Models and Humans

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Pre-training LLMs using human-like development data corpus

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Centaur: a foundation model of human cognition

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Antagonistic AI

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Benchmarking Cognitive Domains for LLMs: Insights from Taiwanese Hakka Culture

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories CogBench: a large language model walks into a psychology lab

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Can LLM be a Personalized Judge?

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories HLB: Benchmarking LLMs' Humanlikeness in Language Use

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Language acquisition: do children and language models follow similar learning stages?

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Gemini: A Family of Highly Capable Multimodal Models

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Auxiliary task demands mask the capabilities of smaller language models

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Large Language Models: A Survey

Reference 62

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This paper cites Do language models learn typicality judgments from text?.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Do language models learn typicality judgments from text?

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:01:28.817386Z

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Observation 06397610-e706-4daa-bdfa-8aad5d8ed343 · outbound

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Moyer and Thomas K

Reference 64

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Observation a058f9d6-0680-41b9-a701-202a84622a4e · outbound

This paper cites an unresolved cited work.

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Reference 65

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Observation cf40c2f3-07d2-4ad7-8bcd-1b469143e721 · outbound

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories GPT-ology, Computational Models, Silicon Sampling: How should we think about LLMs in Cognitive Science?

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:01:28.723137Z

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Observation f7ee5a32-2239-405d-a095-b96d9f24084b · outbound

This paper cites GPT-4 Technical Report.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories GPT-4 Technical Report

Reference 67

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Reference 68

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 69

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Reference 70

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Observation 192312b2-87a4-47ac-93f0-dff41b0faa39 · outbound

This paper cites an unresolved cited work.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 71

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Reference 72

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Observation cee1e44f-3c39-4827-84f5-8cb6fa1cdaf5 · outbound

This paper cites Frank, and Gary Lupyan.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Frank, and Gary Lupyan

Reference 73

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Observation 78f63265-1324-4a23-9a65-f74d9dbef87e · outbound

This paper cites Hidden Persuaders: LLMs' Political Leaning and Their Influence on Voters.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Hidden Persuaders: LLMs' Political Leaning and Their Influence on Voters

Reference 74

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Does Spatial Cognition Emerge in Frontier Models?

Reference 75

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Reference 76

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Observation 978db013-c388-45c3-a52e-8e4265936910 · outbound

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 77

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Observation 46868514-8eae-4486-8b62-bbc402bf8cdf · outbound

This paper cites an unresolved cited work.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 78

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories PersonaGym: Evaluating Persona Agents and LLMs

Reference 79

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 80

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Observation bda3b9a7-8a1a-42dc-be95-03084015aa19 · outbound

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 81

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Observation e9f6203b-df7f-436e-ba57-914301f10978 · outbound

This paper cites an unresolved cited work.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 82

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Observation 77022440-de65-45e9-875f-bbf4d3e67b01 · outbound

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Human Behavioral Benchmarking: Numeric Magnitude Comparison Effects in Large Language Models

Reference 83

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Observation e421c70d-8cff-4424-b376-6cc34add7ea5 · outbound

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 84

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Observation 9b2cf66a-8588-4f05-9cd3-04a7461a94bd · outbound

This paper cites an unresolved cited work.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 85

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Observation 47a1311e-6cbe-4a75-b2fc-a8eeb5e5c586 · outbound

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 86

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Observation 801d662c-f144-4b92-a9c7-de7e51449079 · outbound

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 87

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Observation aacb8359-2c0b-4c02-b1d0-df35186e7047 · outbound

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 88

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Observation 8fb916e4-8e22-46ef-a6b2-12be626e878a · outbound

This paper cites DevBench: A multimodal developmental benchmark for language learning.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories DevBench: A multimodal developmental benchmark for language learning

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:01:28.632709Z

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Observation 4e51202e-bc26-40e2-a25d-d43b9830c465 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories LLaMA: Open and Efficient Foundation Language Models

Reference 90

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Source-reported events for the cited work

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Observation 0708ae1a-e4c7-49c7-9ce4-5268bd5cbdbb · outbound

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization

Reference 91

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56067c4f-ba3c-47ec-81b2-5f66101a9899 · outbound

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 92

Resolution: verified exact; doi, observed 2026-08-10T17:01:28.365475Z

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Observation 17d98f0c-73d5-4c71-84ba-ef2eaab5ba42 · outbound

This paper cites an unresolved cited work.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 93

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:01:29.196695Z

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Observation 065812c4-99f4-4df6-a034-e5369c5a24df · outbound

This paper cites an unresolved cited work.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 94

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 039f5221-690d-4c33-a310-1d9ff35a80b7 · outbound

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The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:01:29.171588Z

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Observation 9fb1bc70-1dce-4334-a056-282612526867 · outbound

This paper cites an unresolved cited work.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 96

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:01:29.158795Z

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Observation 588510d0-6a33-40b0-af7b-fd1db7ec34ee · outbound

This paper cites an unresolved cited work.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 97

Resolution: verified exact; doi, observed 2026-08-10T17:01:28.351067Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 21106566-0024-4ed8-969f-1de32a067801 · outbound

This paper cites an unresolved cited work.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-10T17:01:28.250905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9bb49be-86db-49ce-9826-a2fc6488a6d9 · outbound

This paper cites an unresolved cited work.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:01:29.145253Z

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Observation a268f761-62a8-4236-80b9-ead7728725c3 · outbound

This paper cites CogLM: Tracking Cognitive Development of Large Language Models.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories CogLM: Tracking Cognitive Development of Large Language Models

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-10T17:01:28.258967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Outbound references

Pith citing papers