New Approach Treats LLMs as Nondeterministic Causal Models
Researchers propose framing large language models as nondeterministic causal models, enabling counterfactual analysis without accessing internal sampling and compatible with any black‑box LLM. getnews.me/new-approach-treats-llms... #nlp #causalmodel #llm
Mitigating Omitted Variable Bias in Empirical Software Engineering
Begin software engineering research with a causal structural model (CSM), then use sensitivity analysis and propensity‑score matching to reduce omitted variable bias. Read more: getnews.me/mitigating-omitted-varia... #omittedvariablebias #causalmodel
Figure 1 of the study: Artistic causal diagram (Directed Acyclic Graph, #DAG) used in the study (design and drawings by Jannah Oliveira; obrigadão Jannah!) to illustrate our causal assumptions as to how the data-generation process underlying region-level human disturbance pressures, and tree community functional traits. This causal model was used to logically inform the content of our statistical models, with the aim to allow causal interpretations of the effects of interest. @ird-fr@bsky.social @oxfordecosystems.bsky.social
These findings show how #causality can be inferred from observational data in #Ecology. Habitat loss, fragmentation, edge effects, degradation, and the functional make-up of tree communities have interdependencies, and require a #CausalModel to disentangle #causation from spurious association!
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