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Benchmark construction

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

4 records

Journal article

Attribution Is Scored on a Finished Trace: What Failure-Attribution Benchmarks Measure, What Cascade Containment Would Need, and Why Neither Result Bounds the Other

A family of recent proposals aims to stop errors from spreading through LLM-based multi-agent systems: genealogy-graph governance over message dependencies, cross-channel causal monitoring, propagation-aware remediation of contaminated state, infection-aware safeguarding, and corrector placement…

Cite Related research LOR-00063 · 6 views · 23 downloads
PDF459.7 KB

Journal article

Attribution Is Scored on a Finished Trace: What Failure-Attribution Benchmarks Measure, What Cascade Containment Would Need, and Why Neither Result Bounds the Other

A family of recent proposals aims to stop errors from spreading through LLM-based multi-agent systems: genealogy-graph governance over message dependencies, cross-channel causal monitoring, propagation-aware remediation of contaminated state, infection-aware safeguarding, and corrector placement…

Cite Related research LOR-00001 · 5 views · 14 downloads
PDF456.7 KB

Journal article

A Failure to Reject Is Not a Finding: Closed-Set Accuracy, Specialized Open-Set Recognition, and the Semantic-Distance Parameter the Deflationary Debate Leaves Free

A widely cited result reports that the open-set performance of an image classifier is strongly correlated with its closed-set accuracy, and that a well-trained baseline scoring rule is competitive with specialized open-set machinery. The result is often read as showing that specialized open-set…

Cite Related research LOR-00015 · 7 views · 20 downloads
PDF509.1 KB

Journal article

Automatic Benchmarks Measure an Asymmetry: Privileged Information, Panel-Relative Difficulty, and Two Self-Biases That Pull in Opposite Directions

Automatic benchmark construction is presented as a response to saturation: a language model proposes topics, writes items, and supplies answer keys, and the resulting datasets are reported to be harder and more novel than human-built ones. The standard objection is that a model cannot examine…

Cite Related research LOR-00037 · 12 views · 52 downloads
PDF511.7 KB

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