This work proposes a Causal auto-Bidding method based on a Diffusion completer-aligner framework, termed CBD, which achieves superior performance on large-scale auto-bidding benchmarks, but also delivers significant improvements on an online advertising platform, including a 2.0% increase in target cost.
Ye-Wen Li, Jingtong Gao, Peng Jiang et al.· Proceedings of the 32nd ACM...· 0 citations
Auto-bidding is central to computational advertising, where strategies must maximize advertisers'conversion value under economic constraints. It has evolved from rule-based controllers to reinforcement learning and generative methods such as Decision Transformer (DT). Yet these methods increasingly mismatch the prevail...
Ye-Wen Li, Peng Jiang, Yi-Tian Li et al.· 0 citations
AgentBrew is proposed, an offline training framework that learns effective tool-use policies from a single batch of raw interaction trajectories, without task verifiers or iterative on-policy rollouts, and demonstrates that fine-grained offline learning can recover useful supervision from raw trajectories that filterin...
Zhiyi Lyu, Ye-Wen Li, Long-Tao Zheng et al.· 2 citations
A feedback-driven agent framework is proposed that first induces task-oriented intent and then discovers recommendation policies according to their incremental utility over an intent-only baseline, enabling LLM-free online inference.
Zhi Chen, Minmao Wang, Xing-Chen Liu et al.· arXiv.org· 0 citations
Hierarchical Residual Policy Optimization (HRPO), a post-training framework that converts item-level outcomes into dense, token-aligned learning signals for conservative token-wise improvement, is proposed.
Kaifeng Guo, Yiming Yang, Jingtong Gao et al.· Proceedings of the 32nd ACM...· 0 citations
Large Vision--Language Models (VLMs) unlearning tends to eliminate the influence of ``to-be-forgotten'' content in the training corpora, algorithmically by suppressing the likelihood of faithfully generating responses on forget-target inputs. The injection of adversarial inputs can manipulate the unlearned VLM's genera...
Yi-Min Liu, Peng Jiang, Ya-Jie Wang· Proceedings of the Thirty-Fi...· 0 citations
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