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arXiv — cs.AI

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标题为英语SciLitBench: Benchmark and Design Principles for LLM-Powered Systematic Literature Reviews

arXiv:2609.05505v1 Announce Type: new Abstract: Systematic reviews require sustained human judgment across thousands of records, yet existing evaluations of large language models (LLMs) typically examine review stages in isolation. We introduce SciLitBench, a multi-stage…

arXiv — cs.AI作者: Miguel Zabaleta, Baihan Lin2026年9月9日 (9月9日)
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  • arXiv:2609.05505v1 Announce Type: new Abstract: Systematic reviews require sustained human judgment across thousands of records, yet existing evaluations of large language models (LLMs) typically examine review stages in isolation
  • We introduce SciLitBench, a multi-stage…
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SciLitBench: Benchmark and Design Principles for LLM-Powered Systematic Literature Reviews

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