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cs.CL2025
Beyond Token Length: Step Pruner for Efficient and Accurate Reasoning in Large Language Models
Canhui Wu, Qiong Cao, Chang Li +5
Large Reasoning Models (LRMs) demonstrate strong performance on complex tasks but often suffer from excessive verbosity, known as "overthinking." Existing solutions via reinforceme…
cs.CL2025
MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model
Chengze Zhang, Changshan Li, Shiyang Gao
The exponential growth of data and advancements in big data technologies have created a demand for more efficient and automated approaches to data analysis and storytelling. Howeve…