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These findings show stronger, less prompt-conditional CoT-like behavior in the reasoning-tuned model, consistent with but not proof of latent reasoning, thus investigates latent reasoning without relying on models'self-reported traces.
In the complete markdown sweep, hard negatives lower accuracy more than length-matched random documents at both context sizes for gpt-5-mini, while random documents stay near the no-distractor baseline, and for gpt-5-mini hard negatives significantly underperform length-matched random distractors when pooled across con...
PAUSE (Pause-And-Update Strategy Editing) is an intervention that exposes an editable adaptation strategy as a human control surface for cultural decisions in long-form story adaptation, a structured artifact that can be inspected, edited, and then projected through downstream character, entity, and chapter-localizatio...
The results show that sycophancy can corrupt the reasoning chain independently of the final answer, so answer-level evaluation alone is insufficient, and a failure taxonomy separating reasoning-chain from answer-level sycophancy is introduced, and a complementary sentence-level taxonomy locating where in the chain drif...
Long-form fiction writers need memory that answers multi-hop questions about evolving story state: who knows a secret and when they learned it, whether an event preceded the narration that revealed it, whether a setup paid off, and how a relationship shifted. General-purpose retrieval and agent-memory systems represent...
Standard model merging can collapse safety recognition into broad refusal when safety-relevant task vectors differ substantially in scale, and results show that standard model merging can collapse safety recognition into broad refusal when safety-relevant task vectors differ substantially in scale.
It is shown that stronger temporal alignment changes answer bias, but do not improve compositional conflict resolution, and that stronger temporal alignment changes answer bias, but do not improve compositional conflict resolution.
It is suggested that long-form narratives can emerge from explicit world-state tracking and goal-driven multi-agent generation, providing a foundation for controllable and structurally coherent long-form narrative generation.
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