Memory-Aware Selection:
-
Continuously tracks all previously asked and answered questions within each step to maintain contextual integrity.
-
Applies a semantic penalty to questions that are overly similar to prior ones (defined as >0.7 cosine similarity using
bert-base-nli-mean-tokens
or equivalent model, as model may change due to enhancements or deprecation). -
Rewards topical diversity by incrementing a novelty index for questions that fall outside existing semantic clusters.
-
Introduces an urgency bonus of +0.2 when contradictions are previously identified within semantically adjacent areas, prioritizing clarification of inconsistent knowledge nodes.