AI RESEARCH
Chinese Short-Form Creative Content Generation via Explanation-Oriented Multi-Objective Optimization
arXiv CS.CL
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ArXi:2511.15408v2 Announce Type: replace Chinese nstrates high semantic compactness and rich metaphorical expressiveness, enabling limited text to convey dense meanings while increasing the difficulty of generation and verification, particularly in short-form creative natural language generation (CNLG). In the real world, users often require personalized, fine-grained creative constraints, making reliable verification critical to guiding optimization. According to Brunswik's Lens Model from psychology, constraints' achievement can be inferred from sufficient observable cues.