AI RESEARCH
InfoSynth: Information-Guided Benchmark Synthesis for LLMs
arXiv CS.CL
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ArXi:2601.00575v2 Announce Type: replace Large language models (LLMs) have nstrated significant advancements in reasoning and code generation, but efficiently creating new benchmarks to evaluate these capabilities remains a challenge. Traditional benchmark creation relies on manual human effort, which is expensive and time-consuming. Furthermore, existing benchmarks often contaminate