将自一致性从分类任务扩展到开放式生成，通过表征空间对齐解决代码合成与文本摘要的输出多样性挑战。
arXiv:2606.12003v1 Announce Type: new Abstract: Self-consistency improves LLM reasoning by sampling multiple outputs and selecting the most consistent…
仅用两个推理样本即可实现LLM自一致性？CoT+PoT集成方案，大幅提升推理效率的新突破。
arXiv:2604.17433v2 Announce Type: replace-cross Abstract: Self-consistency (SC) is a popular technique for improving the reasoning accuracy of large l…
CVPR 2026视频大模型挑战赛新方案：用边际触发问题重仲裁提升回答自一致性，精准优化视频问答可靠性。
arXiv:2606.04323v1 Announce Type: new Abstract: In this report, we present our solution for Track 2 of the CVPR 2026 VidLLMs Challenge. This track eva…
多语言推理新突破：跨语言自一致性方法显著提升LLM在多语种任务中的准确率与鲁棒性
arXiv:2606.01464v1 Announce Type: new Abstract: Despite expanding their multilingual coverage, the advanced reasoning capabilities of LLMs remain larg…
顶会ICML 2026提出多模态融合新方法，利用自一致性任务梯度场实现高效跨模态交互。
arXiv:2410.15475v2 Announce Type: replace Abstract: Multimodal learning aims to preserve as much task-related information as possible from different i…