Matches in Nanopublications for { <https://w3id.org/np/RA6amI79BFW1axJuNM0PmqefGYO-SWR72EoGG5fb0KuB0#assertion> ?p ?o ?g. }
Showing items 1 to 15 of
15
with 100 items per page.
- assertion comment " New paper alert! 🚨 We've been exploring the impact of context on LLM performance evaluation. Turns out, evaluating models on individual examples might not tell the whole story. #MachineLearning #AI Our findings suggest that batch evaluation allows models to identify patterns and tendencies, leading to more nuanced assessments. Plus, a two-step decision process (analysis + scoring) shows promising results. Exciting times for ML eval! 📊🧠To learn more, check out the paper: https://arvix.org/abs/2207.15796 " assertion.
- assertion wasAttributedTo RA8InlmUPoZ6CTtHP_RkqFBHJSnasnRcjI3qz7EJ-nHJY provenance.
- assertion creator RA8InlmUPoZ6CTtHP_RkqFBHJSnasnRcjI3qz7EJ-nHJY assertion.
- assertion wasGeneratedBy activity provenance.
- assertion wasAssociatedWith sensenets_demo provenance.
- assertion discusses 2207.15796 assertion.
- assertion linksTo 2207.15796 assertion.
- assertion announcesResource 2207.15796 assertion.
- assertion keywords "AI" assertion.
- assertion keywords "MachineLearning" assertion.
- assertion keywords "LLM" assertion.
- assertion keywords "performance-evaluation" assertion.
- assertion keywords "batch-evaluation" assertion.
- assertion keywords "two-step-decision-process" assertion.
- assertion linksTo 1839674524729483541 provenance.