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SOTA
问答
Question Answering On Multitq
Question Answering On Multitq
评估指标
Hits@1
Hits@10
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Hits@1
Hits@10
Paper Title
Prog-TQA
79.7
91
Self-Improvement Programming for Temporal Knowledge Graph Question Answering
TimeR4
72.8
-
-
ARI
38
-
Temporal Knowledge Question Answering via Abstract Reasoning Induction
MultiQA
29.3
44.1
Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model
CronKGQA
27.9
63.5
Question Answering Over Temporal Knowledge Graphs
EmbedKGQA
20.6
60.8
Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
LLaMA2
18.5
-
Llama 2: Open Foundation and Fine-Tuned Chat Models
ALBERT
10.8
45.9
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
ChatGPT
10.2
-
-
DistillBERT
8.3
48.4
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
BERT
8.3
48.2
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
0 of 11 row(s) selected.
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Next
HyperAI
HyperAI超神经
首页
算力平台
文档
资讯
论文
教程
数据集
百科
SOTA
LLM 模型天梯
GPU 天梯
顶会
开源项目
全站搜索
关于
服务条款
隐私政策
中文
HyperAI
HyperAI超神经
Toggle Sidebar
全站搜索…
⌘
K
Command Palette
Search for a command to run...
算力平台
首页
SOTA
问答
Question Answering On Multitq
Question Answering On Multitq
评估指标
Hits@1
Hits@10
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Hits@1
Hits@10
Paper Title
Prog-TQA
79.7
91
Self-Improvement Programming for Temporal Knowledge Graph Question Answering
TimeR4
72.8
-
-
ARI
38
-
Temporal Knowledge Question Answering via Abstract Reasoning Induction
MultiQA
29.3
44.1
Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model
CronKGQA
27.9
63.5
Question Answering Over Temporal Knowledge Graphs
EmbedKGQA
20.6
60.8
Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
LLaMA2
18.5
-
Llama 2: Open Foundation and Fine-Tuned Chat Models
ALBERT
10.8
45.9
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
ChatGPT
10.2
-
-
DistillBERT
8.3
48.4
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
BERT
8.3
48.2
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
0 of 11 row(s) selected.
Previous
Next
Question Answering On Multitq | SOTA | HyperAI超神经