LLMbench supplies a side-by-side workbench with probability overlays and variation modes that treat LLM output as a research object whose counterfactual history is made legible.
CCS offers an annotation methodology (Observation, Question, Metaphor, Pattern, Context, Critique) that LLMbench inherits and adapts for model outputs
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LLMbench: A Comparative Close Reading Workbench for Large Language Models
LLMbench supplies a side-by-side workbench with probability overlays and variation modes that treat LLM output as a research object whose counterfactual history is made legible.