@article{xinyu2026,
title = {Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It},
author = {Zhou, Xinyu and Zhu, Boyu and Xu, Yi and Li, Zhiwei and Chen, Yingfa and Wang, Huiming and Guo, Zhijiang},
journal = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing},
year = {2026},
month = {Jan},
doi = {10.18653/2026.emnlp-main.816},
url = {https://doi.org/10.18653/2026.emnlp-main.816},
}
Zhou, Xinyu et al. (2026). Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing. https://doi.org/10.18653/2026.emnlp-main.816
Zhou, Xinyu, et al.. "Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing, 2026, https://doi.org/10.18653/2026.emnlp-main.816.
Zhou, Xinyu, et al.. "Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (2026). https://doi.org/10.18653/2026.emnlp-main.816
Zhou, Xinyu et al., 2026. Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing. Available at: <https://doi.org/10.18653/2026.emnlp-main.816>.
TY - JOUR
TI - Attention Amnesia in Hybrid LLMs: When CoT Fine-Tuning Breaks Long-Range Recall, and How to Fix It
AU - Zhou, Xinyu
AU - Zhu, Boyu
AU - Xu, Yi
AU - Li, Zhiwei
AU - Chen, Yingfa
AU - Wang, Huiming
AU - Guo, Zhijiang
PY - 2026
JO - Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing
DO - 10.18653/2026.emnlp-main.816
UR - https://doi.org/10.18653/2026.emnlp-main.816
ER -