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cs.CL2025
Vision-Language Models Are Not Pragmatically Competent in Referring Expression Generation
Ziqiao Ma, Jing Ding, Xuejun Zhang +6
Referring Expression Generation (REG) is a core task for evaluating the pragmatic competence of vision-language systems, requiring not only accurate semantic grounding but also adh…
cs.CL2024
Core Knowledge Deficits in Multi-Modal Language Models
Yijiang Li, Qingying Gao, Tianwei Zhao +8
While Multi-modal Large Language Models (MLLMs) demonstrate impressive abilities over high-level perception and reasoning, their robustness in the wild remains limited, often falli…