Sentiment-spa-Rei
Task Identifier: sentiment-2016-rei-spa
Cluster: Sentiment Analysis
Data Type: spa
Score Metric: Macro-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs InfoDCL
52.827
2
Finetuned LMs TwHIN-BERT
51.6208
3
Finetuned LMs Bernice
51.5332
4
Finetuned LMs XLM-RoBERTa-Base
51.2643
5
Finetuned LMs XLM-Twitter
49.0494
6
three-shot in-context learning Vicuna-7B
48.1364
7
Finetuned LMs XLM-RoBERTa-Large
45.033
8
five-shot in-context learning Vicuna-7B
44.7917
9
Finetuned LMs mBERT
39.5899
10
Zero-shot Bactrian-LLaMA-7B
38.9806
11
Baseline Majority
31.8005
12
Zero-shot Vicuna-7B
31.5049
13
Zero-shot Chatgpt with translated prompts
28.5426
14
Zero-shot Chatgpt
25.007
15
Baseline Random
19.7765
16
Zero-shot BLOOM-7B
17.8566
17
three-shot in-context learning BLOOM-7B
17.68
18
Zero-shot LLaMA-7B
15.7174
19
Zero-shot Alpaca-7B
14.705
20
Zero-shot Bactrian-BLOOM
12.9065
21
five-shot in-context learning mT5-XL
9.87549
22
three-shot in-context learning LLaMA-7B
8.92746
23
Zero-shot mT0-XL
8.48875
24
three-shot in-context learning mT5-XL
8.40001
25
Zero-shot BLOOMZ-P3-7B
8.12385
26
five-shot in-context learning BLOOM-7B
7.79991
27
five-shot in-context learning BLOOMZ-P3-7B
7.73772
28
five-shot in-context learning mT0-XL
7.6153
29
five-shot in-context learning LLaMA-7B
7.36862
30
three-shot in-context learning BLOOMZ-P3-7B
6.91798
31
Zero-shot BLOOMZ-7B
6.70054
32
three-shot in-context learning mT0-XL
5.20764
33
Zero-shot mT5-XL
1.68941