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SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces
Large language models are increasingly deployed as coding agents, shifting safety from individual responses to action sequences. Existing benchmarks, however, primarily assess whether models refuse unsafe prompts, leaving impacts on stateful workspaces largely unexamined. We present SABER, a benchma
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