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Arxiv
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EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees
- A study introduces a method called EvalTree to identify weaknesses in language models (LM) by constructing a capability tree and pinpointing underperforming nodes.
- EvalTree outperforms other baseline weakness profiling methods by precisely and comprehensively identifying weaknesses on benchmark instances like MATH and WildChat.
- The weakness profiling by EvalTree enables targeted data collection, leading to improved LM performance compared to other data collection strategies.
- EvalTree also reveals shortcomings in Chatbot Arena's human-voter-based evaluation process, providing a tool for practitioners to explore capability trees interactively.
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