this paper lists ways to make reasoning LLMs more efficient:
text
this paper lists ways to make reasoning LLMs more efficient:
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> enforce token limits per reasoning step 
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> enforce token limits per reasoning step 
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> route tasks to different models (small/large) 
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> route tasks to different models (small/large) 
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> compress reasoning chains during SFT 
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> compress reasoning chains during SFT 
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> reward based on reasoning length
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> reward based on reasoning length
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> parallel search at test-time
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> parallel search at test-time
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and more... 
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and more... 
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@Xiaoye08
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Xiaoye08
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@yaful
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yaful
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@Warrieryes
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Warrieryes
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A Survey of Efficient Reasoning for Large Reasoning Models: Language,
  Multimodality, and Beyond (2503.21614)
https://huggingface.co/papers/2503.21614
2503.21614
paper
resource
https://huggingface.co/papers/2503.21614
this paper lists ways to make reasoning LLMs more efficient:
> enforce token limits per reasoning step 
> route tasks to different models (small/large) 
> compress reasoning chains during SFT 
> reward based on reasoning length
> parallel search at test-time
and more... 
@Xiaoye08 @yaful @Warrieryes
https://huggingface.co/papers/2503.21614
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