The paper unifies perspectives on Long CoT in reasoning LLMs by introducing a taxonomy, detailing characteristics of deep reasoning and reflection, and discussing emergence phenomena and future directions.
Uncertainty-guided optimization on large language model search trees
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A GPT2 model with discrete property tokens is fine-tuned via multi-task learning to generate molecules whose TDDFT-computed optical properties match conditioning targets, with controllability varying by chemical motif.
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Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models
The paper unifies perspectives on Long CoT in reasoning LLMs by introducing a taxonomy, detailing characteristics of deep reasoning and reflection, and discussing emergence phenomena and future directions.
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De novo molecular generation with optical property preconditioning at the token level
A GPT2 model with discrete property tokens is fine-tuned via multi-task learning to generate molecules whose TDDFT-computed optical properties match conditioning targets, with controllability varying by chemical motif.