Emotion-zho-Lee
Task Identifier: emotion-2015-lee-zho
Cluster: Emotion Recognition
Data Type: zho
Score Metric: Accuracy
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
74.0032
2
Finetuned LMs InfoDCL
72.9665
3
Finetuned LMs XLM-RoBERTa-Base
70.8134
4
Finetuned LMs TwHIN-BERT
69.1388
5
Finetuned LMs XLM-Twitter
68.8198
6
Zero-shot Chatgpt
68.1818
7
Finetuned LMs Bernice
67.3046
8
Zero-shot Chatgpt with translated prompts
66.0287
9
Finetuned LMs mBERT
65.8692
10
Zero-shot mT0-XL
55.5024
11
Zero-shot BLOOMZ-7B
52.6316
12
Zero-shot BLOOMZ-P3-7B
51.4354
13
Zero-shot Alpaca-7B
49.7608
14
five-shot in-context learning Vicuna-7B
48.8038
15
five-shot in-context learning BLOOMZ-P3-7B
46.89
16
three-shot in-context learning BLOOMZ-P3-7B
45.6938
17
three-shot in-context learning Vicuna-7B
44.7368
18
five-shot in-context learning mT0-XL
43.0622
19
Baseline Majority
41.866
20
three-shot in-context learning mT0-XL
40.6699
21
five-shot in-context learning BLOOM-7B
40.1914
22
three-shot in-context learning BLOOM-7B
36.1244
23
five-shot in-context learning LLaMA-7B
35.4067
24
three-shot in-context learning LLaMA-7B
32.2966
25
Zero-shot mT5-XL
23.9234
26
five-shot in-context learning mT5-XL
22.0096
27
Zero-shot Vicuna-7B
19.1388
28
Zero-shot Bactrian-BLOOM
18.4211
29
Zero-shot Bactrian-LLaMA-7B
16.9856
30
Baseline Random
16.2679
31
three-shot in-context learning mT5-XL
16.0287
32
Zero-shot LLaMA-7B
16.0287
33
Zero-shot BLOOM-7B
14.1148