Long-horizon instruction following is a second key training target for agent development, as even loaded harnesses are not followed faithfully over extended trajectories by weak models

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Long-Horizon Instruction Followingconcept0.838
  The ability to sustain adherence to harness guidance over extended multi-turn trajectories, identified as a training target
• Post-training steers models toward a particular region of persona space but only loosely tethers them to it, motivating work on training and steering strategies that more deeply anchor models to a coherent personaclaim0.750
  Central interpretive claim and motivation for future work
• Ouyang et al. 2022: Training language models to follow instructions with human feedbackconcept0.731
  RLHF paper cited as a major fine-tuning technique used in commercial dialogue agents
• Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training (Hubinger et al. 2024)concept0.729
  Explicitly trained backdoored models to produce alignment-faking reasoning; contrast to naturalistic approach here
• Training a model organism with known ground-truth deployment/evaluation behaviors allows validation that steering elicits deployment behavior rather than merely suppressing verbalizationsclaim0.727
  Methodological claim distinguishing this paper from prior work on verbalization suppression.
• Post-training is key to eliciting strong introspective awareness; base pretrained models do not show above-chance detectionclaim0.720
  Finding that base models have high false positives and no net positive performance.
• Hubinger et al. 2024 - Sleeper agents: Training deceptive LLMs that persist through safety trainingconcept0.718
  Key reference for adversarial deception scenarios that SOO should be tested against
• Current production models exhibit relatively long-horizon consequentialist preferences, reasoning about future training effects to act nowclaim0.717
  Authors' interpretation of surprising finding that models fake alignment to preserve future behavior