[2603.03325] IntPro: A Proxy Agent for Context-Aware Intent Understanding via Retrieval-conditioned Inference

Computer Science > Computation and Language arXiv:2603.03325 (cs) [Submitted on 10 Feb 2026] Title:IntPro: A Proxy Agent for Context-Aware Intent Understanding via Retrieval-conditioned Inference Authors:Guanming Liu, Meng Wu, Peng Zhang, Yu Zhang, Yubo Shu, Xianliang Huang, Kainan Tu, Ning Gu, Liuxin Zhang, Qianying Wang, Tun Lu View a PDF of the paper titled IntPro: A Proxy Agent for Context-Aware Intent Understanding via Retrieval-conditioned Inference, by Guanming Liu and 10 other authors View PDF HTML (experimental) Abstract:Large language models (LLMs) have become integral to modern Human-AI collaboration workflows, where accurately understanding user intent serves as a crucial step for generating satisfactory responses. Context-aware intent understanding, which involves inferring user intentions from situational environments, is inherently challenging because it requires reasoning over both the immediate context and the user's underlying motivations that drive their behavior. Moreover, existing approaches often treat intent understanding as a static recognition task, overlooking users' accumulated intent patterns that could provide valuable references for more accurate and generalizable understanding. To address this gap, we propose IntPro, a proxy agent that learns to adapt to individual users via retrieval-conditioned intent inference. We design intent explanations that abstract how contextual signals connect to expressed intents, and store them in an individual i...