Emotion-fin-Kajava
Task Identifier: emotion-2018-kajava-fin
Cluster: Emotion Recognition
Data Type: fin
Score Metric: Macro-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
63.2954
2
Finetuned LMs InfoDCL
58.869
3
Finetuned LMs XLM-RoBERTa-Base
58.6095
4
Finetuned LMs XLM-Twitter
57.1841
5
Zero-shot Chatgpt
52.7861
6
Finetuned LMs TwHIN-BERT
51.4703
7
Finetuned LMs Bernice
49.5437
8
Zero-shot Chatgpt with translated prompts
46.3617
9
Finetuned LMs mBERT
46.1543
10
five-shot in-context learning Vicuna-7B
22.1336
11
three-shot in-context learning Vicuna-7B
21.0503
12
Zero-shot mT0-XL
18.7047
13
five-shot in-context learning LLaMA-7B
16.4754
14
three-shot in-context learning LLaMA-7B
16.3861
15
five-shot in-context learning mT0-XL
15.6065
16
three-shot in-context learning mT0-XL
13.9464
17
Baseline Random
13.3213
18
Zero-shot Bactrian-BLOOM
8.45513
19
Zero-shot Bactrian-LLaMA-7B
7.74046
20
three-shot in-context learning mT5-XL
6.01554
21
three-shot in-context learning BLOOM-7B
6.00027
22
five-shot in-context learning BLOOM-7B
5.84533
23
Zero-shot Vicuna-7B
5.45365
24
five-shot in-context learning mT5-XL
5.11276
25
Zero-shot BLOOM-7B
4.87965
26
Zero-shot Alpaca-7B
3.8619
27
Zero-shot mT5-XL
3.60591
28
Zero-shot BLOOMZ-7B
3.45423
29
three-shot in-context learning BLOOMZ-P3-7B
3.44828
30
five-shot in-context learning BLOOMZ-P3-7B
3.44828
31
Zero-shot BLOOMZ-P3-7B
3.44828
32
Zero-shot LLaMA-7B
3.29541
33
Baseline Majority
3.29122