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cs.CL2026
Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient Reasoning
Chuang Zhang, Zizhen Zhu, Yihao Wei +5
Large language models (LLMs) demonstrate superior reasoning capabilities compared to small language models (SLMs), but incur substantially higher costs. We propose COllaborative RE…
cs.CV2026
S1-MMAlign: A Large-Scale, Multi-Disciplinary Dataset for Scientific Figure-Text Understanding
He Wang, Longteng Guo, Pengkang Huo +4
Multimodal learning has revolutionized general domain tasks, yet its application in scientific discovery is hindered by the profound semantic gap between complex scientific imagery…