Long-Horizon Instruction Following

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

• 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 modelsclaim0.838
  Design recommendation derived from harness adherence failure and phase-level drift findings
• We expect it is possible to achieve helpfulness and instruction-following without human feedback, starting from only a pretrained LM and extensive prompting.hypothesis0.695
  Future work suggestion that a fully self-supervised alignment is plausible.
• Ouyang et al. 2022: Training language models to follow instructions with human feedbackconcept0.695
  RLHF paper cited as a major fine-tuning technique used in commercial dialogue agents
• long-range coherenceconcept0.689
  Ability to maintain structural consistency over extended sequences
• What makes one text long for another, arrange for an approach, strategize intimacies?question0.688
  Personifies texts and asks about their desirous relational drives.
• long-range orderconcept0.678
  Persistence of a macroscopic pattern across large scales; necessary for maintaining coherent outputs or structures
• optimization of interventions to follow behavior manifold M_ymethod0.674
  Method that optimizes activation interventions so that resulting behaviors trace M_y, recovering activation paths that follow M_h curvature.
• Current production models exhibit relatively long-horizon consequentialist preferences, reasoning about future training effects to act nowclaim0.670
  Authors' interpretation of surprising finding that models fake alignment to preserve future behavior