Hunyuan
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Related Articles from SNS
When Built-in Thinking Helps and Hurts: Constraint-Level Error Shifts in Instruction Following
arXiv:2606.09662v1 Announce Type: new Abstract: Large reasoning models (LRMs) often improve math and coding performance, but their effect on instruction following is unclear. We study IFEval with Qwen3 models (1.7B-32B), using same-weights Thinking ON/OFF controls; four Hunyuan models provide directional cross-family support. Aggregate pass-rate changes are small (-0.55 to -3.52 pp), yet 10-20% of prompts switch between pass and fail across modes, suggesting that thinking changes the pattern...