AI Research
GameReplica: A Benchmark for Black-Box Visual Game Replication by Vision-Language Agents
Testing vision-language agents on their ability to reconstruct complex gaming mechanics through visual observation.
Coding-agent benchmarks usually evaluate implementation after the target behavior has been specified in text, code, or demonstrations. Existing research has extensively evaluated the ability of coding agents to generate programs from textual specifications. However, under black-b...
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ArXiv CS.CV
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ArXiv CS.CV
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Generated insight by OnAirToday AI
GameReplica marks a critical shift by testing agents on their ability to visually reconstruct game mechanics without direct access to source code or internal state. This benchmark pushes vision-language models beyond simple text-to-code tasks toward complex, interactive spatial reasoning.
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