Sentiment-slk-Mozetic
Task Identifier: sentiment-2016-mozetic-slk
Cluster: Sentiment Analysis
Data Type: slk
Score Metric: Macro-F1
Paper/GitHub/Website URL: N/A


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
75.9312
2
Finetuned LMs InfoDCL
75.7059
3
Finetuned LMs XLM-RoBERTa-Base
74.7792
4
Finetuned LMs XLM-Twitter
73.2703
5
Finetuned LMs TwHIN-BERT
72.3407
6
Finetuned LMs Bernice
71.8181
7
Finetuned LMs mBERT
71.7802
8
Zero-shot Chatgpt
57.4612
9
Zero-shot Chatgpt with translated prompts
55.3437
10
three-shot in-context learning LLaMA-7B
33.147
11
five-shot in-context learning LLaMA-7B
32.9092
12
Zero-shot BLOOMZ-P3-7B
31.8943
13
five-shot in-context learning BLOOMZ-P3-7B
30.2873
14
three-shot in-context learning BLOOMZ-P3-7B
30.2231
15
Baseline Random
28.5709
16
Zero-shot mT0-XL
27.8475
17
three-shot in-context learning BLOOM-7B
27.5875
18
three-shot in-context learning mT0-XL
27.5526
19
Zero-shot BLOOMZ-7B
27.3578
20
five-shot in-context learning BLOOM-7B
26.7213
21
Zero-shot LLaMA-7B
25.0084
22
five-shot in-context learning mT0-XL
23.6172
23
five-shot in-context learning Vicuna-7B
23.3087
24
Baseline Majority
22.8953
25
Zero-shot BLOOM-7B
20.4923
26
Zero-shot Bactrian-LLaMA-7B
19.9247
27
Zero-shot Bactrian-BLOOM
18.138
28
Zero-shot Alpaca-7B
17.9269
29
three-shot in-context learning mT5-XL
17.2887
30
five-shot in-context learning mT5-XL
14.4184
31
three-shot in-context learning Vicuna-7B
14.2485
32
Zero-shot mT5-XL
14.0904
33
Zero-shot Vicuna-7B
10.4553