Sentiment-pol-Kocon
Task Identifier: sentiment-2019-kocon-pol
Cluster: Sentiment Analysis
Data Type: pol
Score Metric: Macro-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
82.6395
2
Finetuned LMs XLM-Twitter
78.1366
3
Finetuned LMs InfoDCL
77.626
4
Finetuned LMs Bernice
77.0485
5
Finetuned LMs XLM-RoBERTa-Base
76.0311
6
Finetuned LMs TwHIN-BERT
71.3254
7
Finetuned LMs mBERT
70.9898
8
Zero-shot Chatgpt
50.8636
9
Zero-shot Chatgpt with translated prompts
41.4509
10
Zero-shot mT0-XL
39.5065
11
five-shot in-context learning mT0-XL
39.144
12
Zero-shot Bactrian-LLaMA-7B
39.0658
13
five-shot in-context learning Vicuna-7B
36.5643
14
five-shot in-context learning LLaMA-7B
34.3486
15
three-shot in-context learning Vicuna-7B
32.8168
16
three-shot in-context learning mT0-XL
32.4824
17
Zero-shot BLOOMZ-7B
32.4498
18
Zero-shot BLOOMZ-P3-7B
32.2046
19
three-shot in-context learning LLaMA-7B
31.6168
20
Zero-shot Alpaca-7B
30.4211
21
three-shot in-context learning BLOOMZ-P3-7B
25.4331
22
Baseline Random
25.0345
23
five-shot in-context learning BLOOMZ-P3-7B
23.2124
24
Zero-shot LLaMA-7B
21.7539
25
five-shot in-context learning BLOOM-7B
20.3036
26
three-shot in-context learning BLOOM-7B
18.887
27
three-shot in-context learning mT5-XL
15.8822
28
five-shot in-context learning mT5-XL
15.3715
29
Baseline Majority
13.1881
30
Zero-shot mT5-XL
13.0178
31
Zero-shot BLOOM-7B
10.1651
32
Zero-shot Vicuna-7B
9.6347
33
Zero-shot Bactrian-BLOOM
9.2257