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cs.AI2025
Can Competition Enhance the Proficiency of Agents Powered by Large Language Models in the Realm of News-driven Time Series Forecasting?
Yuxuan Zhang, Yangyang Feng, Daifeng Li +3
Multi-agents-based news-driven time series forecasting is considered as a potential paradigm shift in the era of large language models (LLMs). The challenge of this task lies in me…
cs.AI2025
Structuring Scientific Innovation: A Framework for Modeling and Discovering Impactful Knowledge Combinations
Junlan Chen, Kexin Zhang, Daifeng Li +3
The emergence of large language models offers new possibilities for structured exploration of scientific knowledge. Rather than viewing scientific discovery as isolated ideas or co…