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Multi-hop Question Answering on Bamboogle out-of-domain (Exact Match)

46.4Exact MatchEM+Info-Think+Think-Ans
9.79219.29628.838.304Oct 15, 2025

Evaluation results

MethodLinks
EM+Info-Think+Think-AnsFramework=VERITAS-R1, Reward Components=EM+Info-Think+Think-Ans2025.1046.4
EM+Info-ThinkFramework=VERITAS-R1, Reward Components=EM+Info-Think2025.1045.6
ReSearch-7B-BaseModel Scale=7B, Model Variant=Base2025.1043.2
Search-R1-7B-Base-PPOModel Scale=7B, Training Algorithm=PPO2025.1043.2
ReSearch-7B-InstructModel Scale=7B, Model Variant=Instruct2025.1042.4
EM+Think-AnsFramework=VERITAS-R1, Reward Components=EM+Think-Ans2025.1041.6
Search-R1-7B-Base-PPO w/ FormatModel Scale=7B, Training Algorithm=PPO, Input Formatting=Included2025.1040.3
DeSA-7B-Instrct-GRPOModel Scale=7B, Training Algorithm=GRPO2025.1039.5
Rejection SamplingReasoning Strategy=Rejection Sampling2025.1035.5
DeSA-3B-Instruct-GRPOModel Scale=3B, Training Algorithm=GRPO2025.1034.7
Search-o1Reasoning Strategy=Search-o12025.1029.6
R1-baseModel Variant=Base2025.1029.6
R1-instructModel Variant=Instruct2025.1029.3
CoTReasoning Strategy=Chain-of-Thought2025.1023.2
IRCoTReasoning Strategy=Iterative Retrieval Chain-of-Thought2025.1022.4
RAGReasoning Strategy=Retrieval-Augmented Generation2025.1020.8
Direct InferenceReasoning Strategy=Direct Inference2025.1012
SFTTraining Algorithm=Supervised Fine-Tuning2025.1011.2