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'OpenAI released GPT-5.1 featuring Instant and Thinking variants that adapt compute to prompt difficulty, add account-level personalization, and deliver improved safety metrics and jailbreak robustness.'
Fractional Reasoning introduces a model-agnostic method to adaptively control reasoning depth in LLMs, enhancing performance and efficiency on complex reasoning tasks.
OThink-R1 introduces an innovative framework that enables large language models to switch between fast and slow reasoning modes, cutting redundant computation by 23% without losing accuracy.
Researchers from the National University of Singapore developed Thinkless, a framework that dynamically adjusts reasoning depth in language models, cutting unnecessary computation by up to 90% while maintaining accuracy.