concept
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concept:latent-methodslatent methods
Methods that use latent reasoning; lack task generalization and are difficult to train with autoregressive parallelization.
Neighborhood — ranked by edge-count
Papers (1)
paper
Claims (1)
claim
- Identifies key limitations of latent methods.
Concepts (1)
concept
- latent reasoningassociated_withReasoning approach using learnable hidden embeddings.
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.
- Statistical regularities stored in pretrained models.
- Hidden or underdeveloped structures existing 'between the lines' of a configuration that can be enhanced and developed through harmony-seeking computation.
- Baseline method using a single orthogonal matrix trained to map source latents to target latents via CL auxiliary loss without behavioral objective.
- Methods that use agentic reasoning; incur context-switching latency from external execution.
- Optimization technique that computes weight changes by following the gradient of an error function; contrasted with evolutionary stochastic search.
- Metric measuring the mean MSE between self and other-referencing activations across all hidden MLP/attention layers
- Output of alignment map ϕ applied to DNN hidden states; basis for distributed causal abstraction
- The paper's central construct: a vector in LLM activation space encoding the transition between reflection levels.