Add paper summary: AutoPrompt (arXiv:2010.15980)

[claude]

Objective

Automatically summarize arXiv paper from Issue #532.

Effect

• Paper: AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts
• Summary file: machine-learning/2020/autoprompt:-eliciting-knowledge-from-language-models-with-automatically-generated-prompts.md
• Issue: Closes AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts #532

This PR includes a comprehensive summary following the project's DoD requirements:

• Concrete, detailed explanations (not vague statements)
• Clear input/output specifications with tensor dimensions
• Algorithm descriptions with mathematical formulations
• Datasets explicitly listed (SST-2, SICK-E, LAMA, T-REx)
• Comparisons with similar/related methods (manual prompts, finetuning, probing classifiers)

Test

• Review the summary for completeness and accuracy
• Verify all mathematical formulations have proper dimensions
• Check that DoD requirements are met (see checklist below)
• Confirm the paper URL matches the issue

Note

Automatically generated via the auto-summarize-papers workflow.

Closes #532

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Definition of Done Checklist

Common

• Describe the concrete sentences to support understanding (not just writing "I understand ...")
• Describe the condition which can be applied (who, when, where)
• Include information about licenses and copyrights

Computer Science / Machine Learning

• Clear Input and Output
• Describe Algorithms with pseudocode
• Explain datasets used
• Clear calculation order
• Describe the difference between similar algorithms