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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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Árpád Pándy

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Conference Aug 2026

Error-Driven Prompt Optimization for Sustainable Tabular Reasoning

The environmental cost of adapting Large Language Models (LLMs) is a growing concern in artificial intelligence research. We present a systematic comparison between gradient-based fine-tuning and a rule-based prompt optimization framework for financial tabular reasoning. Using the TAT-QA dataset, we demonstrate that ou...

Róbert Lakatos, Árpád Pándy, András Hajdu · 0 citations

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