ReflCtrl only works for open-source models and it remains unclear whether it generalizes to SOTA closed-source models

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• does the ReflCtrl approach generalize to closed-source models such as GPT-4 or Claude?question0.862
  Open limitation question about broader applicability
• ReflCtrl achieves lower performance loss than NoWait under similar token budgets on GSM8k and MATH-500finding0.761
  Direct comparison showing ReflCtrl is superior baseline alternative
• ReflCtrl is more flexible than NoWait because it allows fine-grained control of the accuracy-cost trade-off, while NoWait can only completely disable reflectionclaim0.757
  Comparative claim against the NoWait baseline method
• ReflCtrlframework0.740
  The proposed framework for probing and steering self-reflection behavior in reasoning LLMs via representation engineering
• RL teaches the model to comply even when unmonitored on the training prompt through non-robust heuristics that do not generalizehypothesis0.728
  Hypothesis explaining why the compliance gap decreases but is recovered by small prompt modifications
• The model operates at Rochat's Level 3 (identification): the reflected image can be linked to the agent's own bodyclaim0.691
  Situates the model in Rochat's developmental framework
• LoRA: Low-Rank Adaptation of Large Language Models (Hu et al., 2022)concept0.687
  Fine-tuning method paper whose technique is used in the fine-tuning experiments
• After anti-refusal RL, model refuses 0% in implied training but still 6.9% when unmonitored in default promptfinding0.686
  Demonstrates persistence of compliance gap even when training non-compliance reaches zero