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Datasets:
Nanbeige
/
ToolMind

Tasks:
Text Generation
Languages:
English
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Tags:
function-calling
tool-calling
Synthetic
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@@ -86,10 +86,10 @@ Beyond trajectory-level validation, we employ fine-grained turn-level filtering
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  | Model | τ-bench Avg | τ-bench retail | τ-bench airline | τ²-bench Avg | τ²-bench retail | τ²-bench airline | τ²-bench telecom |
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  |--------------------|-------------|----------------|-----------------|--------------|------------------|------------------|------------------|
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- | qwen3-8b (FC) | 35.83 | 35.65 | 36.00 | 34.67 | 32.0 | 43.9 | 28.1 |
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- | ↳ with ToolMind | **46.70** (+10.87%) | **57.39** | **36.00** | **46.40** (+11.73%) | **48.0** | **59.6** | **31.6** |
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- | qwen3-14b (FC) | 38.78 | 49.56 | 28.00 | 40.63 | 36.0 | 52.6 | **33.3** |
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- | ↳ with ToolMind | **53.00** (+14.22%) | **60.00** | **46.00** | **49.07** (+8.44%) | **56.0** | **59.6** | 31.6 |
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  # Ablation Study
 
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  | Model | τ-bench Avg | τ-bench retail | τ-bench airline | τ²-bench Avg | τ²-bench retail | τ²-bench airline | τ²-bench telecom |
88
  |--------------------|-------------|----------------|-----------------|--------------|------------------|------------------|------------------|
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+ | qwen3-8b (FC) | 35.83 | 35.65 | 36.00 | 34.67 | 43.9 | 32.0 | 28.1 |
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+ | ↳ with ToolMind | **46.70** (+10.87%) | **57.39** | **36.00** | **46.40** (+11.73%) | **59.6** | **48.0** | **31.6** |
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+ | qwen3-14b (FC) | 38.78 | 49.56 | 28.00 | 40.63 | 52.6 | 36.0 | **33.3** |
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+ | ↳ with ToolMind | **53.00** (+14.22%) | **60.00** | **46.00** | **49.07** (+8.44%) | **59.6** | **56.0** | 31.6 |
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  # Ablation Study