@article{yaqian2026,
title = {FlipTS: Failure-to-Success Mathematical Self-Refinement via Trajectory-Aware Sampling in End-to-End Online RL},
author = {Hao, Yaqian and Hao, Yifan and Liu, Yankai and Chao, Fangning and Cui, Zhaojun and Zhang, Haiyu and Bai, Huan and Meng, Fanyu and Deng, Chao and Feng, Junlan},
journal = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing},
year = {2026},
month = {Jan},
doi = {10.18653/2026.emnlp-main.2544},
url = {https://doi.org/10.18653/2026.emnlp-main.2544},
}
Hao, Yaqian et al. (2026). FlipTS: Failure-to-Success Mathematical Self-Refinement via Trajectory-Aware Sampling in End-to-End Online RL. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing. https://doi.org/10.18653/2026.emnlp-main.2544
Hao, Yaqian, et al.. "FlipTS: Failure-to-Success Mathematical Self-Refinement via Trajectory-Aware Sampling in End-to-End Online RL." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing, 2026, https://doi.org/10.18653/2026.emnlp-main.2544.
Hao, Yaqian, et al.. "FlipTS: Failure-to-Success Mathematical Self-Refinement via Trajectory-Aware Sampling in End-to-End Online RL." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (2026). https://doi.org/10.18653/2026.emnlp-main.2544
Hao, Yaqian et al., 2026. FlipTS: Failure-to-Success Mathematical Self-Refinement via Trajectory-Aware Sampling in End-to-End Online RL. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing. Available at: <https://doi.org/10.18653/2026.emnlp-main.2544>.
TY - JOUR
TI - FlipTS: Failure-to-Success Mathematical Self-Refinement via Trajectory-Aware Sampling in End-to-End Online RL
AU - Hao, Yaqian
AU - Hao, Yifan
AU - Liu, Yankai
AU - Chao, Fangning
AU - Cui, Zhaojun
AU - Zhang, Haiyu
AU - Bai, Huan
AU - Meng, Fanyu
AU - Deng, Chao
AU - Feng, Junlan
PY - 2026
JO - Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing
DO - 10.18653/2026.emnlp-main.2544
UR - https://doi.org/10.18653/2026.emnlp-main.2544
ER -