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
Conversational Response Selection
Conversational Response Selection On Douban 1
Conversational Response Selection On Douban 1
Metrics
MAP
MRR
P@1
R10@1
R10@2
R10@5
Results
Performance results of various models on this benchmark
Columns
Model Name
MAP
MRR
P@1
R10@1
R10@2
R10@5
Paper Title
SEMSOL(W/o utterances)
0.651
0.687
0.510
0.328
0.552
0.877
Knowledge-aware response selection with semantics underlying multi-turn open-domain conversations
Uni-Enc+BERT-FP
0.648
0.688
0.518
0.327
0.557
0.865
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems
BERT-FP
0.644
0.680
0.512
0.324
0.542
0.870
Fine-grained Post-training for Improving Retrieval-based Dialogue Systems
SEMSOL
0.640
0.678
0.511
0.330
0.520
0.870
Knowledge-aware response selection with semantics underlying multi-turn open-domain conversations
SA-BERT+HCL
0.639
0.681
0.514
0.330
0.531
0.858
Dialogue Response Selection with Hierarchical Curriculum Learning
UMS_BERT+
0.625
0.664
0.499
0.318
0.482
0.858
Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection
Uni-Encoder
0.622
0.662
0.481
0.303
0.514
0.852
Uni-Encoder: A Fast and Accurate Response Selection Paradigm for Generation-Based Dialogue Systems
SA-BERT
0.619
0.659
0.496
0.313
0.481
0.847
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots
Poly-encoder
0.608
0.650
0.475
0.299
0.494
0.822
Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring
BERT
0.591
0.633
0.454
0.280
0.470
0.828
An Effective Domain Adaptive Post-Training Method for BERT in Response Selection
MSN
0.587
0.632
0.470
0.295
0.452
0.788
Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots
IoI
0.573
0.621
0.444
0.269
0.451
0.786
One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues
IMN
0.570
0.615
0.433
0.262
0.452
0.789
Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots
DUA
0.551
0.599
0.421
0.243
0.421
0.780
Modeling Multi-turn Conversation with Deep Utterance Aggregation
DAM
0.550
0.601
0.427
0.254
0.410
0.757
Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network
SMN
0.529
0.569
0.397
0.233
0.396
0.724
Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots
0 of 16 row(s) selected.
Previous
Next
Conversational Response Selection On Douban 1 | SOTA | HyperAI