This paper studies agentic image restoration, in which multimodal agents coordinate specialized restoration tools to recover images affected by complex degradations. Existing restoration agents often derive complete tool-use plans from the original degraded image or retrieve previously successful trajectories, providin...
Jie Shao, Sheng-Kai Hu, Xu Zhang et al.· 0 citations
Recent Recommendation Agents (RecAgents) offer a promising alternative by shifting recommendation to an active, user-side paradigm, where generative agents autonomously perceive external platforms, reason over user preferences, and execute decisions. However, existing RecAgents still suffer from two critical limitation...
Hao-Hao Qu, Yong-Cheng Jing, Chun-Hin Chan et al.· 0 citations
A novel RAIE taxonomy along four scaling dimensions is proposed, which optimizes the entire thought process through search algorithms and self-verification, and introduces a task-oriented guideline for choosing the best TTS strategy.
Jia-Yu An, Zheng Chen, Yong-Cheng Jing et al.· Proceedings of the Thirty-Fi...· 0 citations
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