RoSRL: Adaptive Rule-of-Sum Reinforcement Learning for Efficient and Reliable Summarization

Thu Phuong Tran Thi, Vinh Van Nguyen, Thai Nguyen Phuong, Quang Vu Ngoc, Khoa Nguyen Dang


Anthology ID:
2025.paclic-1.53
Volume:
Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation
Month:
December
Year:
2025
Address:
Hanoi, Vietnam
Editors:
Chu-Ren Huang, Yasunari Harada, Jong-Bok Kim, Nguyen T.M. Huyen, Le Thanh Huong, Pham Hien, Emmanuele Chersoni, Le Minh Nguyen, Rachel Edita Oñate Roxas, Sherly Dita
Venue:
PACLIC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
576–591
Language:
URL:
https://aclanthology.org/2025.paclic-1.53/
DOI:
Bibkey:
Cite (ACL):
Thu Phuong Tran Thi, Vinh Van Nguyen, Thai Nguyen Phuong, Quang Vu Ngoc, and Khoa Nguyen Dang. 2025. RoSRL: Adaptive Rule-of-Sum Reinforcement Learning for Efficient and Reliable Summarization. In Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation, pages 576–591, Hanoi, Vietnam. Association for Computational Linguistics.
Cite (Informal):
RoSRL: Adaptive Rule-of-Sum Reinforcement Learning for Efficient and Reliable Summarization (Thi et al., PACLIC 2025)
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PDF:
https://aclanthology.org/2025.paclic-1.53.pdf