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Agent-500

Emerging
1papers using it
2026first seen

Agent-500 is a dataset used to evaluate the ability to identify the source of responses generated by large language models (LLMs) based on varying prompts rather than a fixed input set.

Papers using Agent-500 (1)

Agent-500 β€” datasets β€” graph-learning