Papers with personalized preference alignment

2 papers
IceBreaker for Conversational Agents: Breaking the First-Message Barrier with Personalized Starters (2026.acl-industry)

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Challenge: Existing efforts focus on activation within ongoing dialogues, while overlooking a key real-world bottleneck.
Approach: They propose a conversation starter generation system that generates personalized starters to guide users into conversation without explicit user intent.
Outcome: The proposed system improves user active days by +1.84 and click-through rate by +94.25 and has been deployed in production.
ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment (2025.emnlp-main)

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Challenge: Large language models and diffusion models have opened new possibilities for AI-generated content . personalized cover image generation remains underexplored despite its critical role in boosting user engagement on digital platforms.
Approach: They propose a framework that integrates MLLM-based prompting with personalized preference alignment to generate high-quality, contextually relevant covers.
Outcome: The proposed framework improves image quality, semantic fidelity, and personalization, leading to stronger user appeal and offline recommendation accuracy in downstream tasks.

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