LEV: a layer-looping decision model whose 2.6B version gains accuracy with depth on JevBench
LEV: think deeper without a single extra token
A decision model that loops its layers, scoring options after each pass. One checkpoint works at any depth. On JevBench, Lev-2.6B goes from 63.2% to 76.2% accuracy as depth increases from 1 to 4.XSources2
- @HuggingPapersXLEV: think deeper without a single extra token A decision model that loops its layers, scoring options after each pass. One checkpoint works at any depth. On JevBench, Lev-2.6B goes from 63.2% to 76.2% accuracy as depth increases from 1 to 4.View original ·
arXivResearchLEV: Thinking Fast and Deep with Looped Decision ModelsView original ·
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