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GPT-3 and in-context few-shot language tasks

Contribution grade

Language modeling · Scoped scientific or research-capability contribution

Reference score75,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

The GPT-3 paper studied a large autoregressive language model performing many tasks from instructions and examples in its prompt, without task-specific gradient updates.

Scientific scope

The GPT-3 paper studied a large autoregressive language model performing many tasks from instructions and examples in its prompt, without task-specific gradient updates. Scope limitation: This is a human-authored model and evaluation contribution. It does not turn every generated answer into a scientific result or establish reliable general intelligence. The pinned paper is v4; no extra benchmark package is counted.

Evidence

Assessment uses the catalogue-linked source evidence for the stated contribution. This is a human-authored model and evaluation contribution. It does not turn every generated answer into a scientific result or establish reliable general intelligence. The pinned paper is v4; no extra benchmark package is counted.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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