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Foundation models

3 open-access journal articles on foundation models, published in 2026 in Life of Research. Every record is free to read and download, with a permanent link and a ready-made citation.

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Journal article

Whose Goals? Autotelic Agents Generate Goals Within Spaces They Are Given: The Goal Space and the Referee Stay Outside the Agent, and a Foundation Model in the Loop Relocates Them Rather Than Removing Them

Autotelic agents are described as learning to represent, generate, select and solve their own goals, and a new generation of systems built on foundation models is reported to do so without hand-coded goal representations, without human intervention, or from zero data. This paper separates four…

Cite Related research LOR-00079 · 10 views · 12 downloads
PDF447.3 KB

Journal article

Measured Against an Incomplete Answer Key: What Unknown Recall Certifies in Open-World Object Detection, Why Its Two Cost-Side Instruments Disagree, and the Separation That Was Published and Not Adopted

Open-world object detection asks a detector to put boxes on objects whose classes it was never trained on, and the field's headline number for that ability is unknown recall. This paper reconstructs where that metric came from and what it can certify. The founding paper of the task did not report…

Cite Related research LOR-00019 · 19 views · 6 downloads
PDF543.7 KB

Journal article

Out-of-Distribution With Respect to What? Four Referents Behind One Predicate, and Why OOD Detection Results Do Not Transfer to Foundation-Model Reasoning

Out-of-distribution detection was formalised for a setting in which the training distribution is known, the label space is closed, and a designated test set stands in for everything outside it. Foundation models satisfy none of those conditions, and yet a growing body of work reports…

Cite Related research LOR-00033 · 6 views · 12 downloads
PDF509 KB

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