US EditionSo-called reasoning models are more efficient but not more capable than regular LLMs, study finds
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So-called reasoning models are more efficient but not more capable than regular LLMs, study finds
A new study from Tsinghua University and Shanghai Jiao Tong University examines whether reinforcement learning with verifiable rewards (RLVR) helps large language models reason better—or simply makes them more efficient at repeating known solutions. The article So-called reasoning models are more efficient but not more capable than regular LLMs, study finds appeared first on THE DECODER.
Researchers doubt "reasoning" models: more efficient yes, more intelligent no
A new study questions whether Reinforcement Learning with verifiable rewards (RLVR) actually improves the thinking abilities of large language models – or merely helps to reproduce known solutions more efficiently.The article Researchers doubt "Reasoning" models: More efficient yes, more intelligent no first appeared on THE-DECODER.de.
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