Lunar Twins: We Choose to Go to the Moon with Large Language Models (2025.findings-acl)
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| Challenge: | Lunar Twins is the first LLM designed specifically for lunar exploration . Lunar GenData is a multi-agent collaborative workflow for generating lunar instructions . |
| Approach: | They propose a framework that combines both large and small LLMs and Lunar GenData, which integrates real data from Chang'e lunar missions. |
| Outcome: | Experimental validation shows that the proposed framework enhances domain expertise and reveals indications of embodied intelligence potential. |
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| Challenge: | Existing benchmarks focus on static, context-independent reasoning tasks and fail to capture constraints and dependencies of lunar missions. |
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| Challenge: | Large language models (LLMs) are impressive in solving tasks, but they can quickly be outdated after deployment. |
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A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (2024.emnlp-main)
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MM-LLMs: Recent Advances in MultiModal Large Language Models (2024.findings-acl)
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| Challenge: | generative Large Language Models (LLMs) are a promising tool for biomedical and healthcare research. |
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LLMs for Low Resource Languages in Multilingual, Multimodal and Dialectal Settings (2024.eacl-tutorials)
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Can Large Language Models Unlock Novel Scientific Research Ideas? (2025.emnlp-main)
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