method
active
method:vs-standardVS-Standard
The baseline variant of Verbalized Sampling that asks for k responses with their probabilities in a single LLM call
Neighborhood — ranked by edge-count
Papers (1)
paper
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.
- A VS variant that generates k responses with probabilities across multiple conversation turns for additional diversity
- A VS variant that adds chain-of-thought reasoning before generating the distribution of responses with probabilities
- In attention, value vectors that carry the information future positions should receive.
- The paper's proposed training-free prompting strategy that prompts the model to verbalize a probability distribution over a set of responses rather than generating a single response
- Ternary relation xy|z defined on leaves of a tree as z ≰ x ∨ y; encodes the structure of evolutionary trees.
- A form of attention head composition where W_V reads from a subspace affected by a previous head, creating virtual attention heads
- Pattern defining standard structure for application modules that the backplane can launch and manage uniformly.