The PTQ4RIS framework can be extended to accommodate more complex referring expressions by incorporating several enhancements. Firstly, the model could be adapted to support multi-object segmentation by integrating a mechanism for handling multiple queries simultaneously. This could involve modifying the text encoder to process a list of referring expressions, allowing it to generate distinct segmentation masks for each object mentioned. Additionally, the framework could leverage attention mechanisms to capture spatial relationships between objects, enabling the model to understand context better. For instance, incorporating spatial reasoning modules that analyze the relative positions of objects could enhance the model's ability to interpret expressions like "the cup next to the plate." Furthermore, the dual-region quantization (DRQ) and reorder-based outlier-retained quantization (RORQ) methods could be refined to account for the increased complexity in activation distributions that arise from processing multiple objects, ensuring that quantization errors remain minimal. Overall, these modifications would enhance the robustness of PTQ4RIS in handling diverse and intricate referring expressions.