Unverified50% confidenceFactExact time
CLM replicates Jev's "System One" decision interface and supports three core question primitives: Choice (returns a categorical probability distribution), Noul (outputs calibrated true/false probabilities), and Score (scores according to a rubric).
1
Sources
50%
Confidence
Long-term
Relevance
9/24/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe Jev model breaks down judgment tasks into three answer types: noul (yes/no judgment), choice (multi-class classification), and score (graded scoring).70% similarUnverifiedCLM computes probabilities over the candidate set passed in the request via dot product plus softmax, so its probabilities are relative to the provided candidate set and can only be used to rank candidates within the same request, not for absolute cross-request comparisons.65% similarUnverifiedCLIC trains an interpretable decision tree to distinguish between the code collections of two LLMs.64% similarUnverifiedJev's interaction model is built around three components: state (input context), questions (available actions), and answer (output with probabilities).63% similarUnverifiedIn Q2D-Web, LLM judgments are designed as one of three sets rather than the sole basis, in order to guard against the biases that LLM judgments themselves may introduce.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/946802API
curl https://kongchang.com/api/v1/knowledge/claims/946802MCP
get_claim(id=946802)