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Peng Shu
OpenAlex ID:
A5139726121
Towards Faithful Industrial RAG: A Reinforced Co-adaptation Framework for Advertising QA
2026
·
Wenwei Li
, Ming Xu
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
1
PDF
Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training
2026
·
Tianle Xia
, Ming Xu
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring
2026
·
Deyi Ji
, Junyu Lu
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
SSR-A: Spatial- and Semantic-Aware Instructions and Curriculum Reinforcement for Advertisement Compliant Rectification
2026
·
Cao Te
, Mengge Xue
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
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