| Document Ranking with a Pretrained Sequence-to-Sequence Model | ✓ Link | 0.6091 | 0.3876 | 0.5165 | monoT5-3B (zero-shot) | 2020-03-14 |
| PARADE: Passage Representation Aggregation for Document Reranking | ✓ Link | 0.5399 | | 0.4604 | PARADE(ELECTRA) | 2020-08-20 |
| CEDR: Contextualized Embeddings for Document Ranking | ✓ Link | 0.5381 | | 0.4667 | CEDR-KNRM | 2019-04-15 |
| PARADE: Passage Representation Aggregation for Document Reranking | ✓ Link | 0.5252 | | 0.4486 | PARADE(BERT) | 2020-08-20 |
| Deeper Text Understanding for IR with Contextual Neural Language Modeling | ✓ Link | 0.469 | | | BERT-MaxP | 2019-05-22 |
| Deeper Text Understanding for IR with Contextual Neural Language Modeling | ✓ Link | 0.467 | | | BERT-SumP | 2019-05-22 |
| Deep Relevance Ranking Using Enhanced Document-Query Interactions | ✓ Link | 0.464 | 0.271 | 0.389 | POSIT-DRMM-MV | 2018-09-05 |
| CEDR: Contextualized Embeddings for Document Ranking | ✓ Link | 0.4541 | | 0.4042 | Vanilla BERT | 2019-04-15 |
| NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval | ✓ Link | 0.4502 | 0.2904 | 0.4064 | NPRF-DRMM | 2018-10-30 |
| Deep Relevance Ranking Using Enhanced Document-Query Interactions | ✓ Link | 0.445 | 0.258 | 0.374 | PACRR | 2018-09-05 |
| Deeper Text Understanding for IR with Contextual Neural Language Modeling | ✓ Link | 0.444 | | | BERT-FirstP | 2019-05-22 |
| From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing | ✓ Link | 0.4391 | 0.2971 | 0.3948 | SNRM-PRF | 2018-10-22 |
| NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval | ✓ Link | 0.4327 | 0.2846 | 0.3926 | NPRF-KNRM | 2018-10-30 |
| From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing | ✓ Link | 0.4310 | 0.2856 | 0.3766 | SNRM | 2018-10-22 |
| A Deep Relevance Matching Model for Ad-hoc Retrieval | ✓ Link | 0.431 | 0.279 | 0.382 | DRMM | 2017-11-23 |
| NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval | ✓ Link | 0.3989 | 0.2464 | 0.3510 | KNRM | 2018-10-30 |
| Simple Applications of BERT for Ad Hoc Document Retrieval | ✓ Link | | 0.3278 | 0.4287 | BERT FT(Microblog) | 2019-03-26 |
| The Neural Hype and Comparisons Against Weak Baselines | ✓ Link | | 0.302 | 0.4012 | Anserini BM25+RM3 | 2018-12-01 |
| Neural Ranking Models with Weak Supervision | ✓ Link | | 0.2837 | | FNRM-RankProb_Embed | 2017-04-28 |
| Neural Ranking Models with Weak Supervision | ✓ Link | | 0.2811 | | FNRM-Rank_Embed | 2017-04-28 |
| From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing | ✓ Link | | 0.2499 | | QL | 2018-10-22 |