arXiv (OAI Expanded)
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First Things First: Teaching LLM-Based Agents to Prioritize Must-Haves before Nice-to-Haves
Recent progress in multimodal large language models (MLLMs) has fueled significant enthusiasm in their potential to act as autonomous agents for real-world tasks. However, scenarios requiring agents to fulfill users' complex, structured requirements remain largely underexplored. In this work, we exa
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