Papers by Zhengzhou Zhu
FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning Models (2026.acl-long)
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| Challenge: | Recent Large Reasoning Models (LRMs) have demonstrated remarkable success in complex reasoning tasks. |
| Approach: | They propose a self-guided efficient reasoning framework that reduces FoE by pruning subs. |
| Outcome: | The proposed model outperforms eight competitive baselines while reducing token consumption by 37.7% 70.4%. |