The paper introduces a layered vulnerability framework and attack taxonomy for LLM-driven data agents and demonstrates attacks on four open-source and two production systems.
Lambda: A large model based data agent,
2 Pith papers cite this work. Polarity classification is still indexing.
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years
2026 2verdicts
UNVERDICTED 2representative citing papers
Verilog-Evolve uses executable feedback from simulation, synthesis, timing, and GEMM metrics to refine LLM-generated Verilog and evolves skills across tasks, improving functional success and downstream hardware quality on VerilogEval and mixed-precision GEMM benchmarks.
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Verilog-Evolve: Feedback-Driven and Skill-Evolving Verilog Generation
Verilog-Evolve uses executable feedback from simulation, synthesis, timing, and GEMM metrics to refine LLM-generated Verilog and evolves skills across tasks, improving functional success and downstream hardware quality on VerilogEval and mixed-precision GEMM benchmarks.