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#model-selection

2 articles exploring model-selection. Expert insights and analysis from our editorial team.

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llm-evaluation benchmark-analysis compositional-reasoning ibm-research scaffolded-tasks llm-benchmarks

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Models & Research

STaD Exposes What HumanEval Hides: Compositional Skill Gaps in LLMs That Aggregate Benchmarks Miss

IBM Research's STaD shows models with identical benchmark scores can fail on different subskills, making leaderboard rank a poor proxy for compositional code generation.
Models & Research

STaD's Scaffolded Tasks Isolate the Compositional Skill Gaps That Aggregate LLM Benchmarks Hide

IBM Research's STaD framework exposes compositional skill gaps aggregate benchmarks miss: two models at 32% on ToT Arithmetic needed fundamentally different fixes.
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