Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation

@article{luankang2026,
  title = {Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation},
  author = {Zhang, Luankang and Huang, Yonghao and Lv, Hang and Zhi, Xuyang and Yin, Mingjia and Ye, Yuyang and Guo, Wei and Wang, Hao and Chen, Enhong},
  journal = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing},
  year = {2026},
  month = {Jan},
  doi = {10.18653/2026.emnlp-main.2424},
  url = {https://doi.org/10.18653/2026.emnlp-main.2424},
}

Zhang, Luankang et al. (2026). Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing. https://doi.org/10.18653/2026.emnlp-main.2424

Zhang, Luankang, et al.. "Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing, 2026, https://doi.org/10.18653/2026.emnlp-main.2424.

Zhang, Luankang, et al.. "Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (2026). https://doi.org/10.18653/2026.emnlp-main.2424

Zhang, Luankang et al., 2026. Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing. Available at: <https://doi.org/10.18653/2026.emnlp-main.2424>.

TY  - JOUR
TI  - Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation
AU  - Zhang, Luankang
AU  - Huang, Yonghao
AU  - Lv, Hang
AU  - Zhi, Xuyang
AU  - Yin, Mingjia
AU  - Ye, Yuyang
AU  - Guo, Wei
AU  - Wang, Hao
AU  - Chen, Enhong
PY  - 2026
JO  - Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing
DO  - 10.18653/2026.emnlp-main.2424
UR  - https://doi.org/10.18653/2026.emnlp-main.2424
ER  -