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Khaled Ahmed, PhD's avatar

Great breakdown of benchmark anatomy. One thing I've been thinking about a lot lately is how these evaluation principles translate (or don't) to agent-based systems. You mention explicitly scoping out agent and coding benchmarks, and I think that's where the biggest gap in evaluation methodology lives right now. Static benchmarks measure capability in isolation, but agent reliability in production depends on compositional correctness across multiple tool calls and reasoning steps. I've been exploring atomic claims as an evaluation primitive, decomposing model outputs into independently verifiable units, and finding that it surfaces failure modes that aggregate scoring completely misses. Would love to see a future piece extending this anatomy framework to agentic evaluation.

Cameron R. Wolfe, Ph.D.'s avatar

Definitely will look more at agent evaluation in the future. Agree that this is significantly more complex as it requires making the eval very realistic w.r.t. what the agent is actually expected to do in practice.

Paul's avatar

Thank you for shedding light on this - at least by me - overlooked topic.

This IRT approach was completely new to me.

ps: I am back ;)

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Apr 28
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Cameron R. Wolfe, Ph.D.'s avatar

Benchmarks will have to evolve into something more adaptive / continuous. Static benchmarks will always suffer from the issue you outline above.