Article

CEMIR vs. FISER: A Comparative Study of Reasoning-Based and Enrichment-Based Approaches to Pragmatic Intent Recognition

The study compares FISER, which is based on structured social and embodied reasoning, with CEMIR, which performs multimodal enrichment by synthesizing narratives and photorealistic images from text prompts, on the HandMeThat v2 benchmark, covering four large language models from Qwen2.5-Omni-3B to GPT-5.

Part of the event: FISER vs. CEMIR Intent Recognition Comparison: No Significant Difference

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