Metric: SUP-F1 (higher is better)
| # | Model↕ | SUP-F1▼ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | Beam Retrieval | 0.901 | No | End-to-End Beam Retrieval for Multi-Hop Question... | 2023-08-17 | Code |
| 2 | BigBird-etc | 0.891 | No | Big Bird: Transformers for Longer Sequences | 2020-07-28 | Code |
| 3 | AISO | 0.86 | No | Adaptive Information Seeking for Open-Domain Que... | 2021-09-14 | Code |
| 4 | Chain-of-Skills | 0.853 | No | Chain-of-Skills: A Configurable Model for Open-d... | 2023-05-04 | Code |
| 5 | TPRR | 0.843 | No | - | - | - |
| 6 | EBS-Large | 0.84 | No | - | - | - |
| 7 | HopRetriever + Sp-search | 0.835 | No | HopRetriever: Retrieve Hops over Wikipedia to An... | 2020-12-31 | - |
| 8 | IRRR+ | 0.832 | No | Answering Open-Domain Questions of Varying Reaso... | 2020-10-23 | Code |
| 9 | EBS-SH | 0.831 | No | - | - | - |
| 10 | HopRetriever | 0.826 | No | - | - | - |
| 11 | IRRR | 0.821 | No | Answering Open-Domain Questions of Varying Reaso... | 2020-10-23 | Code |
| 12 | HopRetriever-V2 | 0.818 | No | - | - | - |
| 13 | AFSGraph-retriever | 0.812 | No | - | - | - |
| 14 | Recursive Dense Retriever | 0.809 | No | Answering Complex Open-Domain Questions with Mul... | 2020-09-27 | Code |
| 15 | Step-by-Step Retriever | 0.8 | No | - | - | - |
| 16 | HopRetriever-V1 | 0.793 | No | - | - | - |
| 17 | DDRQA | 0.789 | No | Answering Any-hop Open-domain Questions with Ite... | 2020-09-16 | - |
| 18 | DR model large | 0.778 | No | - | - | - |
| 19 | HGN-albert + SemanticRetrievalMRS IR | 0.774 | No | - | - | - |
| 20 | Model name | 0.772 | No | - | - | - |
| 21 | HopAns | 0.772 | No | - | - | - |
| 22 | Multi-dimensional-AFSGraph | 0.772 | No | - | - | - |
| 23 | Anonymous | 0.771 | No | - | - | - |
| 24 | AFSgraph | 0.769 | No | - | - | - |
| 25 | Tree-shaped-cluster | 0.768 | No | - | - | - |
| 26 | HGN-large + SemanticRetrievalMRS IR | 0.768 | No | - | - | - |
| 27 | Robustly Fine-tuned Graph-based Recurrent Retriever | 0.764 | No | Learning to Retrieve Reasoning Paths over Wikipe... | 2019-11-24 | Code |
| 28 | HGN + SemanticRetrievalMRS IR | 0.764 | No | Hierarchical Graph Network for Multi-hop Questio... | 2019-11-09 | Code |
| 29 | AFSgraph model | 0.759 | No | - | - | - |
| 30 | SAFSR model | 0.757 | No | HotpotQA: A Dataset for Diverse, Explainable Mul... | 2018-09-25 | Code |
| 31 | RoBERTa-DenseRetriever-Fast | 0.749 | No | - | - | - |
| 32 | DPR-recurrent | 0.749 | No | - | - | - |
| 33 | RoBERTa-DenseRetriever | 0.748 | No | - | - | - |
| 34 | GAR-BERT | 0.747 | No | - | - | - |
| 35 | GAR | 0.739 | No | - | - | - |
| 36 | Quark + SemanticRetrievalMRS IR | 0.73 | No | A Simple Yet Strong Pipeline for HotpotQA | 2020-04-14 | - |
| 37 | Graph-based Recurrent Retriever | 0.73 | No | - | - | - |
| 38 | DR model | 0.725 | No | - | - | - |
| 39 | MIR+EPS+BERT | 0.72 | No | - | - | - |
| 40 | Transformer-XH-final | 0.714 | No | - | - | Code |
| 41 | GraphRR-Fast | 0.713 | No | - | - | - |
| 42 | SemanticRetrievalMRS | 0.708 | No | Revealing the Importance of Semantic Retrieval f... | 2019-09-17 | Code |
| 43 | Transformer-XH | 0.7 | No | - | - | - |
| 44 | GoldEn Retriever | 0.642 | No | Answering Complex Open-domain Questions Through ... | 2019-10-15 | Code |
| 45 | DrKIT | 0.598 | No | - | - | - |
| 46 | PR-Bert | 0.596 | No | - | - | - |
| 47 | SAFSr-Bert | 0.585 | No | - | - | - |
| 48 | Cognitive Graph QA | 0.577 | No | Cognitive Graph for Multi-Hop Reading Comprehens... | 2019-05-14 | Code |
| 49 | Entity-centric BERT Pipeline | 0.573 | No | - | - | - |
| 50 | IKFGraph | 0.512 | No | - | - | - |
| 51 | GRN + BERT | 0.497 | No | - | - | - |
| 52 | HGN Model-reproduce | 0.493 | No | - | - | - |
| 53 | GRN | 0.488 | No | - | - | - |
| 54 | MUPPET | 0.473 | No | Multi-Hop Paragraph Retrieval for Open-Domain Qu... | 2019-06-15 | Code |
| 55 | KGNN | 0.472 | No | Multi-Paragraph Reasoning with Knowledge-enhance... | 2019-11-06 | - |
| 56 | SAQA | 0.472 | No | - | - | - |
| 57 | AnonymousQ | 0.468 | No | - | - | - |
| 58 | GAR-NOSF | 0.448 | No | - | - | - |
| 59 | QFE | 0.444 | No | Answering while Summarizing: Multi-task Learning... | 2019-05-21 | - |
| 60 | Entity-centric IR | 0.432 | No | - | - | - |
| 61 | SAFSr_model | 0.406 | No | - | - | - |
| 62 | SuppBERT | 0.4 | No | - | - | - |
| 63 | Baseline Model | 0.377 | No | HotpotQA: A Dataset for Diverse, Explainable Mul... | 2018-09-25 | Code |
| 64 | tes | 0.078 | No | - | - | - |
| 65 | PromptRank-fewshot-2-demo | 0 | No | - | - | - |
| 66 | graph-recurrent-retriever+roberta-base w. S/R-pretraining | 0 | No | - | - | - |
| 67 | TPReasoner w/o BERT | 0 | No | - | - | - |
| 68 | MultiQA | 0 | No | - | - | - |
| 69 | DecompRC | 0 | No | - | - | Code |
| 70 | 0 | No | - | - | - | |
| 71 | Mistral multi hop with very large sources | 0 | No | - | - | - |