hypothesis
pending-review
hypothesis:qwq-and-qwen-models-have-been-extensively-post-trained-to-excel-at-single-step-tasks-causing-degradation-in-long-multi-turn-interactions

QwQ and Qwen models have been extensively post-trained to excel at single-step tasks, causing degradation in long multi-turn interactions.

nguyen-2025-sfr-deepresearch.md
Frontmatter (9 fields)
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  "context": "Proposed explanation for why single-turn reformulation improves performance: models' training distribution is concentrated on single-turn reasoning.",
  "norm_label": "QwQ and Qwen models have been extensively post-trained to excel at single-step tasks, causing degradation in long multi-turn interactions.",
  "graphify_id": "hypothesis_qwen_single_turn_optimization",
  "source_file": "nguyen-2025-sfr-deepresearch.md",
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  "extracted_type": "hypothesis",
  "source_location": "§4.2.1",
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    nguyen-2025-sfr-deepresearch.md