user personalization

Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs ACL 2026 ExPerT: Personalizing LLM Responses to Users’ Domain Expertise via Query-Wise Semantic and Keystroke Behavioral Cues ACL 2026 GRAVITY: A Framework for Personalized Text Generation via Profile-Grounded Synthetic Preferences EACL 2026 PersonaVLM: Long-Term Personalized Multimodal LLMs CVPR 2026 Latent Inter-User Difference Modeling for LLM Personalization EMNLP 2025 On the Way to LLM Personalization: Learning to Remember User Conversations ACL 2025 Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement COLING 2025 Stereotype or Personalization? User Identity Biases Chatbot Recommendations ACL 2025 Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models ACL 2025 TAPS: Tool-Augmented Personalisation via Structured Tagging EMNLP 2025 Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas ACL 2025 ABLE: Personalized Disability Support with Politeness and Empathy Integration EMNLP 2024 Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components AISTATS 2024 Personalized Extractive Summarization Using an Ising Machine Towards Real-time Generation of Efficient and Coherent Dialogue Scenarios EMNLP 2021 Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders EMNLP 2019 Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models AISTATS 2018 Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task Learning EMNLP 2018