Sentiment-jav-Winata
Task Identifier: sentiment-2022-winata-jav
Cluster: Sentiment Analysis
Data Type: jav
Score Metric: Macro-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
86.9069
2
Finetuned LMs InfoDCL
84.7913
3
Finetuned LMs Bernice
84.3839
4
Finetuned LMs XLM-Twitter
84.0502
5
Finetuned LMs XLM-RoBERTa-Base
83.4425
6
Zero-shot Chatgpt with translated prompts
78.5633
7
Finetuned LMs TwHIN-BERT
77.7413
8
Finetuned LMs mBERT
76.083
9
Zero-shot Chatgpt
73.0307
10
Zero-shot BLOOMZ-P3-7B
48.0639
11
five-shot in-context learning LLaMA-7B
42.665
12
three-shot in-context learning BLOOMZ-P3-7B
39.5089
13
five-shot in-context learning BLOOMZ-P3-7B
38.9706
14
Zero-shot mT0-XL
37.6462
15
three-shot in-context learning BLOOM-7B
35.7909
16
three-shot in-context learning LLaMA-7B
35.6358
17
Zero-shot BLOOMZ-7B
35.4842
18
five-shot in-context learning BLOOM-7B
32.0697
19
three-shot in-context learning mT0-XL
31.6468
20
Baseline Random
31.6159
21
five-shot in-context learning Vicuna-7B
30.8417
22
five-shot in-context learning mT0-XL
30.7274
23
Zero-shot Bactrian-BLOOM
23.6839
24
three-shot in-context learning mT5-XL
22.308
25
five-shot in-context learning mT5-XL
20.8749
26
Zero-shot BLOOM-7B
20.1126
27
three-shot in-context learning Vicuna-7B
20.0284
28
Zero-shot LLaMA-7B
18.9475
29
Baseline Majority
18.4448
30
Zero-shot Alpaca-7B
18.4448
31
Zero-shot mT5-XL
18.4448
32
Zero-shot Bactrian-LLaMA-7B
15.9033
33
Zero-shot Vicuna-7B
15.2137