concept
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concept:llm-self-correctionLLM Self-Correction
Related capability where LLMs correct their own outputs, studied via linear representations.
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Papers (1)
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Concepts (1)
concept
- The central phenomenon introduced by this paper: inference-time recovery from irrelevant activation steering in LLMs
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.
- Reasoning pattern where model reverses a compliance tendency and returns toward refusal, associated with better safety in QwQ-32B
- Related field aiming to tailor assistant behavior to individual users, contrasted with character training's broader persona approach
- The capacity of Kimi K2.5 to evaluate its own internal emotional state when steered, used as a novel interpretability signal
- The core phenomenon studied: the ability of LLMs to evaluate and revise their own reasoning.
- Framework by Lee et al. explaining self-correction via linear latent concept directions, closely related prior work.
- The ability of LLMs to monitor and evaluate their own reasoning, closely related to reflection.
- Operationalised as an LM adapting its behaviour when certain outcomes are fixed, indicating those outcomes were intended.
- Technique using internal model representations as feedback loops to steer diffusion-based materials generation toward target properties.