ligang-orby commited on
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Update links to research blog

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results/OrbyAgent-ActIO-72b/README.md CHANGED
@@ -4,4 +4,4 @@ This agent is developed by [Orby AI](https://www.orby.ai/).
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  The agent does not use any benchmark-specific information in the prompts. For WebArena benchmark, we use the original evaluator and task definitions for fair comparison.
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- It uses the ActIO model of 72B parameters as a backend, with both screenshot and HTML as inputs. More details can be found in our [research blog]().
 
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  The agent does not use any benchmark-specific information in the prompts. For WebArena benchmark, we use the original evaluator and task definitions for fair comparison.
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+ It uses the ActIO model of 72B parameters as a backend, with both screenshot and HTML as inputs. More details can be found in our [research blog](https://www.orby.ai/resources/elevating-automation-orby-ais-generic-agent-framework-and-self-adaptive-interface-learning-technique).
results/OrbyAgent-Claude-3.5-Sonnet/README.md CHANGED
@@ -4,4 +4,4 @@ This agent is developed by [Orby AI](https://www.orby.ai/).
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  The agent does not use any benchmark-specific information in the prompts. For WebArena benchmark, we use the original evaluator and task definitions for fair comparison.
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- It uses Claude-3.5-sonnet-20241022 as a backend, with both screenshot and HTML as inputs. More details can be found in our [research blog]().
 
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  The agent does not use any benchmark-specific information in the prompts. For WebArena benchmark, we use the original evaluator and task definitions for fair comparison.
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+ It uses Claude-3.5-sonnet-20241022 as a backend, with both screenshot and HTML as inputs. More details can be found in our [research blog](https://www.orby.ai/resources/elevating-automation-orby-ais-generic-agent-framework-and-self-adaptive-interface-learning-technique).