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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Khadija Parwez

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Open access 2026

Teaching LLMs to Infer Real-World Consequences through Embodied Semantic Grounding

Embodied Semantic Grounding (ESG) is proposed, a framework that equips LLMs with consequence-aware text representations that extends affordance-grounding with consequence-level representations of post-event environmental functionality.

Manaswi Kulahara, Khadija Parwez, Faisal Alhwikem et al. · 0 citations

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