AI RESEARCH
Causal methods for LLM development and evaluation
arXiv CS.LG
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ArXi:2605.25998v1 Announce Type: new Large language model (LLM) development is currently driven by large-scale empirical iteration over data mixtures, reward models, routing strategies, and evaluation pipelines. Here, we argue that many central questions in LLM development and evaluation are inherently causal: What is the effect of adding a data domain during pre