concept
active
concept:explicit-esrExplicit ESR
The form of ESR focused on in this paper, measured by verbal self-interruption phrases as segment boundaries
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Concepts (2)
concept
- Implicit ESRrelated_toForm of ESR occurring without explicit verbal self-interruption markers, not captured by current metrics
- 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.
- Open security question about robustness of ESR-based defenses
- Appending instructional meta-prompts to object-level prompts to deliberately enhance ESR in models
- The observed pattern that ESR appears predominantly in the largest model tested, suggesting scale-dependence
- Central unresolved question about the mechanism behind ESR's apparent size-dependence
- Primary metric: percentage of responses containing multiple attempts that successfully improve on the first attempt
- Three-step protocol: (1) object-level prompting, (2) SAE-latent steering, (3) judge model scoring of attempts
- The paper's core contribution: an RL-based framework for training autonomous single-agent LLMs to perform deep research with web search, browsing, and code execution.
- Self-supervised contrastive learning method cited as instance of NCE-type objectives that converge to PMI kernel