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Evaluation + Rag + Agents

30.0

Build a regression testing framework specifically for agentic code tools that tracks 'laziness' and 'correctness' decay over time. By capturing model responses to a standard suite of complex refactoring tasks, developers can quantify performance regressions following model updates.

+0
emergingimplementation gap
evaluationllm-benchmarkingsimulationcode-generationragagents

Signals (4)

arXiv5h ago

ATANT: An Evaluation Framework for AI Continuity

Google AI21h ago

ConvApparel: Measuring and bridging the realism gap in user simulators

arXiv5h ago

Beyond Surface Judgments: Human-Grounded Risk Evaluation of LLM-Generated Disinformation

YHN1d ago

AMD AI director says Claude Code is becoming dumber and lazier since update