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Multi-hop Question Answering on Bamboogle

75.2AccuracyTC+FM*
1.15220.37639.658.824Oct 9, 2023Mar 3, 2024Jul 28, 2024Dec 22, 2024May 17, 2025Oct 11, 2025Mar 7, 2026

Evaluation results

MethodLinks
TC+FM*Model=Qwen-72B2026.0275.2
TC+FM*Model=Qwen-14B2026.0270.4
HCAPO (Ours)Type=RL Training, Base Model=Qwen2.5-7B-Instruct2026.0369
GiGPOType=RL Training, Base Model=Qwen2.5-7B-Instruct2026.0368.9
TC+FM*Model=Qwen-32B2026.0268.8
Search-o1Model=Qwen-72B2026.0267.2
HCAPO (Ours)Type=RL Training, Base Model=Qwen2.5-3B-Instruct2026.0364.5
GiGPOType=RL Training, Base Model=Qwen2.5-3B-Instruct2026.0364.1
SkillOrchestra+Routing Strategy=Skill-based Routing, Orchestrator Configuration=Best/Multiple2026.0263.2
Search-o1Model=Qwen-32B2026.0260.8
Naive GenModel=Qwen-72B2026.0260
Naive GenModel=Llama3.1-8B2026.0260
Standard RAGModel=Qwen-72B2026.0259.2
TC+FM*Model=Qwen-7B2026.0258.4
TC+FM*Model=Llama3.1-8B2026.0258.4
SkillOrchestraRouting Strategy=Skill-based Routing, Orchestrator Configuration=Single2026.0258.4
Naive GenModel=Qwen-32B2026.0254.4
Standard RAGModel=Qwen-32B2026.0252.8
Router-R1Routing Strategy=RL-based Routing2026.0251.2
FireAct (Multi-task + CoT)Method Category=Fine-tuning, Base Model=GPT-3.5, Training Data=Multi-task + CoT2023.1050.4
RouterDCRouting Strategy=Heuristic & Discriminative Routing2026.0250.4
Naive GenModel=Qwen-14B2026.0248.8
Largest LLMRouting Strategy=Heuristic & Discriminative Routing2026.0248
Prompt LLM+Routing Strategy=Heuristic & Discriminative Routing, Turn Protocol=multi turn2026.0247.2
Search-o1Model=Llama3.1-8B2026.0246.4
Standard RAGModel=Qwen-14B2026.0244.8
Search-R1++Backbone=Qwen2.5-7B, Agent Type=RL trained Deep Research Agents2026.0244.8
Prompt LLMRouting Strategy=Heuristic & Discriminative Routing2026.0244.8
GraphRouterRouting Strategy=Heuristic & Discriminative Routing2026.0244.8
FireAct (Fine-tuned on HotpotQA)Method Category=Fine-tuning, Base Model=GPT-3.5, Training Data=HotpotQA2023.1044
Search-o1Model=Qwen-14B2026.0243.2
Search-o1Model=Qwen-7B2026.0243.2
FireAct (Multi-task)Method Category=Fine-tuning, Base Model=GPT-3.5, Training Data=Multi-task2023.1043.2
FrugalGPTRouting Strategy=Heuristic & Discriminative Routing2026.0243
Standard RAGModel=Qwen-7B2026.0242.4
CoTMethod Category=Prompting, Base Model=GPT-3.52023.1041.6
ReActMethod Category=Prompting, Base Model=GPT-3.52023.1040.8
Search-R1Backbone=Qwen2.5-7B, Agent Type=RL trained Deep Research Agents2026.0240.6
Standard RAGModel=Llama3.1-8B2026.0239.2
TC+FM*Model=Qwen-3B2026.0239.2
KNN Router+Routing Strategy=Heuristic & Discriminative Routing, Turn Protocol=multi turn2026.0238.4
Search-R1Type=RL Training, Base Model=Qwen2.5-7B-Instruct2026.0336.8
KNN RouterRouting Strategy=Heuristic & Discriminative Routing2026.0236
MLP RouterRouting Strategy=Heuristic & Discriminative Routing2026.0236
Search-o1Model=Qwen-3B2026.0234.4
Naive GenModel=Qwen-7B2026.0234.4
BERT RouterRouting Strategy=Heuristic & Discriminative Routing2026.0231.2
R1-baseBackbone=Qwen2.5-7B, Agent Type=RL Trained LLM, Retrieval Setting=without Retrieval2026.0229.6
R1-InstructType=RL Training, Base Model=Qwen2.5-3B-Instruct2026.0329.3
ZeroSearchType=RL Training, Base Model=Qwen2.5-7B-Instruct2026.0327.8
Search-R1Routing Strategy=No Routing2026.0227.2
ReActBackbone=Qwen2.5-7B, Agent Type=Training free Deep Research Agent2026.0226.6
Standard RAGModel=Qwen-3B2026.0226.4
Search-R1Type=RL Training, Base Model=Qwen2.5-3B-Instruct2026.0326.4
RAGRouting Strategy=No Routing2026.0222.4
CoTRouting Strategy=No Routing2026.0222.4
Naive GenModel=Qwen-3B2026.0220.8
R1-InstructType=RL Training, Base Model=Qwen2.5-7B-Instruct2026.0319.2
SFTRouting Strategy=No Routing2026.0211.2
ZeroSearchType=RL Training, Base Model=Qwen2.5-3B-Instruct2026.0311.1
IOMethod Category=Prompting, Base Model=GPT-3.52023.107.2
VanillaRouting Strategy=No Routing2026.024