How to Evaluate if LLMs Explore the Right Problem Space vs. Just Reasoning Well
igzela · reddit · 2026-08-11
A developer initiated an in-depth discussion on a hidden failure mode in LLM-assisted research: even if the initial problem framing is wrong, the model can produce seemingly perfect, coherent answers within that limited space. Because the prompt itself pre-selects variables and scope, the model struggles to think outside the box.
The author seeks better evaluation methods or architectures, such as independent problem reformulation before solution generation, sampling genuinely different hypotheses, adversarial framing passes, or separating exploration from evaluation. They note that multi-agent systems using similar prompts don't necessarily provide independent perspectives.
Related event: Devs Reassess LLM Usage: Evaluate Problem Solvability First(3 posts)→
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