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		Gregor Betz
		
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					update models
Browse files- src/display/about.py +1 -1
 
    	
        src/display/about.py
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         @@ -33,7 +33,7 @@ The Open CoT Leaderboard tracks the reasoning skills of LLMs, measured as their 
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            The leaderboard reports **accuracy gains** achieved by using [chain-of-thought](https://logikon.ai/docs/delib_prompting) (CoT), i.e.: _accuracy gain Δ_ = _accuracy with CoT_ — _accuracy w/o CoT_.
         
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            See the "About" tab for  
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            """
         
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            # Which evaluations are you running? how can people reproduce what you have?
         
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            The leaderboard reports **accuracy gains** achieved by using [chain-of-thought](https://logikon.ai/docs/delib_prompting) (CoT), i.e.: _accuracy gain Δ_ = _accuracy with CoT_ — _accuracy w/o CoT_.
         
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            Detailed model-specific results can be explored with the [Open CoT Dashboard](https://huggingface.co/spaces/cot-leaderboard/open-cot-dashboard). See the "About" tab for background infos and motivation.
         
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            """
         
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            # Which evaluations are you running? how can people reproduce what you have?
         
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