Papers by Yanyuan Qiao
Vision-and-Language Navigation with Analogical Textual Descriptions in LLMs (2025.emnlp-main)
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| Challenge: | Existing zero-shot LLM-based Vision-and-Language Navigation agents either encode images as textual scene descriptions, potentially oversimplifying visual details, or process raw image inputs, which can fail to capture abstract semantics required for high-level reasoning. |
| Approach: | They propose to integrate large language models into embodied AI models by incorporating textual descriptions that facilitate analogical reasoning across images from multiple perspectives. |
| Outcome: | The proposed approach improves the agent’s contextual understanding on the R2R dataset, showing that it can make better decisions based on the LLMs. |
A Knowledge-driven Adaptive Collaboration of LLMs for Enhancing Medical Decision-making (2025.emnlp-main)
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| Challenge: | Medical decision-making often involves integrating knowledge from multiple clinical specialties. static, pre-assigned roles hinder adaptability and dynamic knowledge integration. |
| Approach: | They propose a Knowledge-driven Adaptive Multi-Agent Collaboration framework that emulates large language models to emulate expert teamwork. |
| Outcome: | The proposed framework outperforms single-agent and advanced multi-agend methods on two real-world medical scenarios. |