Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/MPAD-path

MPAD-path

Reported on 10 benchmarks across 4 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing7 results

Text ClassificationonMPQA
Accuracy· 2019-08-17
89.81
SOTA
Message Passing Attention Networks for Document Understanding arXiv:1908.06267
Text ClassificationonBBCSport
Accuracy· 2019-08-17
99.59
SOTA
Message Passing Attention Networks for Document Understanding arXiv:1908.06267
Document ClassificationonMPQA
Accuracy· 2019-08-17
89.81
SOTA
Message Passing Attention Networks for Document Understanding arXiv:1908.06267
Document ClassificationonBBCSport
Accuracy· 2019-08-17
99.59
SOTA
Message Passing Attention Networks for Document Understanding arXiv:1908.06267
Sentiment AnalysisonSST-5 Fine-grained classification
Accuracy· 2019-08-17
49.68
best: 62.27 (Llama-3.3-70B + CAPO)
Message Passing Attention Networks for Document Understanding arXiv:1908.06267
Sentiment AnalysisonSST-2 Binary classification
Accuracy· 2019-08-17
87.75
best: 97.5 (T5-11B)
Message Passing Attention Networks for Document Understanding arXiv:1908.06267
Text ClassificationonTREC-6
Error· 2019-08-17
6.2
best: 0.4 (Automatic Label Error Correction)
Message Passing Attention Networks for Document Understanding arXiv:1908.06267

Methodology3 results

ClassificationonMPQA
Accuracy· 2019-08-17
89.81
SOTA
Message Passing Attention Networks for Document Understanding arXiv:1908.06267
ClassificationonBBCSport
Accuracy· 2019-08-17
99.59
SOTA
Message Passing Attention Networks for Document Understanding arXiv:1908.06267
ClassificationonTREC-6
Error· 2019-08-17
6.2
best: 0.4 (Automatic Label Error Correction)
Message Passing Attention Networks for Document Understanding arXiv:1908.06267