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SOTA
Question Answering
Question Answering On Wikihop
Question Answering On Wikihop
Metrics
Test
Results
Performance results of various models on this benchmark
Columns
Model Name
Test
Paper Title
BigBird-etc
82.3
Big Bird: Transformers for Longer Sequences
Longformer-large
81.9
Longformer: The Long-Document Transformer
LUKE-Graph
81.0
LUKE-Graph: A Transformer-based Approach with Gated Relational Graph Attention for Cloze-style Reading Comprehension
MultiHop (Chen et al., [2019a])
76.5
Multi-hop Question Answering via Reasoning Chains
CFC
70.6
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering
MHQA
65.4
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks
Coref-GRU
59.3
Neural Models for Reasoning over Multiple Mentions using Coreference
MHPGM + NOIC
57.9
Commonsense for Generative Multi-Hop Question Answering Tasks
BiDAF
42.9
Constructing Datasets for Multi-hop Reading Comprehension Across Documents
0 of 9 row(s) selected.
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Next
HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Question Answering
Question Answering On Wikihop
Question Answering On Wikihop
Metrics
Test
Results
Performance results of various models on this benchmark
Columns
Model Name
Test
Paper Title
BigBird-etc
82.3
Big Bird: Transformers for Longer Sequences
Longformer-large
81.9
Longformer: The Long-Document Transformer
LUKE-Graph
81.0
LUKE-Graph: A Transformer-based Approach with Gated Relational Graph Attention for Cloze-style Reading Comprehension
MultiHop (Chen et al., [2019a])
76.5
Multi-hop Question Answering via Reasoning Chains
CFC
70.6
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering
MHQA
65.4
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks
Coref-GRU
59.3
Neural Models for Reasoning over Multiple Mentions using Coreference
MHPGM + NOIC
57.9
Commonsense for Generative Multi-Hop Question Answering Tasks
BiDAF
42.9
Constructing Datasets for Multi-hop Reading Comprehension Across Documents
0 of 9 row(s) selected.
Previous
Next
Question Answering On Wikihop | SOTA | HyperAI