Emotion-eng-Demszky
Task Identifier: emotion-2020-demszky-eng
Cluster: Emotion Recognition
Data Type: eng
Score Metric: Macro-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs InfoDCL
58.8281
2
Finetuned LMs Bernice
57.5022
3
Finetuned LMs XLM-RoBERTa-Large
55.9996
4
Finetuned LMs TwHIN-BERT
55.5378
5
Finetuned LMs XLM-Twitter
53.8012
6
Finetuned LMs mBERT
53.7512
7
Finetuned LMs XLM-RoBERTa-Base
52.5811
8
Zero-shot Chatgpt with translated prompts
32.6078
9
Zero-shot Chatgpt
32.6078
10
Zero-shot Alpaca-7B
15.906
11
three-shot in-context learning Vicuna-7B
15.5615
12
Zero-shot Bactrian-LLaMA-7B
15.3523
13
five-shot in-context learning Vicuna-7B
15.0502
14
Zero-shot mT0-XL
11.3586
15
Zero-shot Vicuna-7B
10.6482
16
five-shot in-context learning LLaMA-7B
7.53576
17
three-shot in-context learning LLaMA-7B
6.9106
18
three-shot in-context learning BLOOM-7B
6.54272
19
five-shot in-context learning BLOOM-7B
6.057
20
Zero-shot BLOOMZ-7B
5.40296
21
Zero-shot LLaMA-7B
4.03497
22
Baseline Random
3.178
23
Zero-shot Bactrian-BLOOM
3.13811
24
three-shot in-context learning mT0-XL
2.71517
25
five-shot in-context learning mT0-XL
2.50183
26
Zero-shot BLOOM-7B
1.96032
27
Zero-shot BLOOMZ-P3-7B
1.90418
28
Baseline Majority
0.773643
29
five-shot in-context learning BLOOMZ-P3-7B
0.519675
30
three-shot in-context learning BLOOMZ-P3-7B
0.329885
31
three-shot in-context learning mT5-XL
0.317989
32
Zero-shot mT5-XL
0.308309
33
five-shot in-context learning mT5-XL
0.302847