method
active
method:response-text-augmentationResponse Text Augmentation
Strategy using GPT-4o, Claude 3.5 Sonnet, and Gemini to generate additional responses preserving original meaning, targeting ≥1000 words concatenated per score category.
Neighborhood — ranked by edge-count
Methods (1)
method
- Iterative procedure searching token counts in [50,100,...,1000] to find concatenation of (C)ARR satisfying IIT's Markov and conditional independence assumptions.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Adding steering vector in forward direction to push model activations toward stronger reflective behavior.
- Tuples are referenced by matching typed fields, akin to a relational database.
- Intervention method that adds a learned direction vector to residual stream activations to steer model behavior
- UCCT interprets RAG as an anchoring variant that raises effective cohesion ρd