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Open-style Response Generation on Open-LLM Leaderboard

53.45AccuracyDRAG_E
28.90635.27841.6548.022Jun 2, 2025

Evaluation results

MethodLinks
DRAG_EBackbone=Gemma-2-9b-it, Distillation=Evidence-based2025.0653.45
DRAG_CBackbone=Gemma-2-9b-it, Distillation=Combined2025.0653.19
DRAG_CBackbone=Qwen2.5-7B-Instruct, Distillation=Combined2025.0652.66
DRAG_EBackbone=Qwen2.5-7B-Instruct, Distillation=Evidence-based2025.0652.36
DRAG_CBackbone=Llama-3.1-8B-Instruct, Distillation=Combined2025.0651.73
DRAG_EBackbone=Llama-3.1-8B-Instruct, Distillation=Evidence-based2025.0650.26
DRAG_GBackbone=Llama-3.1-8B-Instruct, Distillation=Graph-based2025.0649.13
DRAG_GBackbone=Gemma-2-9b-it, Distillation=Graph-based2025.0649.12
DRAG_GBackbone=Qwen2.5-7B-Instruct, Distillation=Graph-based2025.0648.73
Gemma-2-9b-itDistillation=None2025.0646.44
Llama-3.1-8B-InstructDistillation=None2025.0645.07
Qwen2.5-7B-InstructDistillation=None2025.0644.67
DRAG_EBackbone=Phi-3.5-mini-instruct, Distillation=Evidence-based2025.0640.13
DRAG_CBackbone=Phi-3.5-mini-instruct, Distillation=Combined2025.0639.84
DRAG_GBackbone=Phi-3.5-mini-instruct, Distillation=Graph-based2025.0638.22
DRAG_CBackbone=Qwen2.5-3B-Instruct, Distillation=Combined2025.0637.5
DRAG_EBackbone=Gemma-2-2b-it, Distillation=Evidence-based2025.0637.31
DRAG_CBackbone=Gemma-2-2b-it, Distillation=Combined2025.0637.26
DRAG_EBackbone=Qwen2.5-3B-Instruct, Distillation=Evidence-based2025.0637.23
DRAG_GBackbone=Qwen2.5-3B-Instruct, Distillation=Graph-based2025.0636.01
DRAG_GBackbone=Gemma-2-2b-it, Distillation=Graph-based2025.0635.98
Phi-3.5-mini-instructDistillation=None2025.0635.26
DRAG_EBackbone=Llama-3.2-3B-Instruct, Distillation=Evidence-based2025.0634.12
DRAG_CBackbone=Llama-3.2-3B-Instruct, Distillation=Combined2025.0633.65
DRAG_GBackbone=Llama-3.2-3B-Instruct, Distillation=Graph-based2025.0632.79
Qwen2.5-3B-InstructDistillation=None2025.0632.59
Gemma-2-2b-itDistillation=None2025.0632.54
Llama-3.2-3B-InstructDistillation=None2025.0629.85