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


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
84.2426
2
Finetuned LMs InfoDCL
84.07
3
Finetuned LMs XLM-Twitter
81.5811
4
Finetuned LMs XLM-RoBERTa-Base
80.8866
5
Finetuned LMs Bernice
80.1919
6
Finetuned LMs TwHIN-BERT
77.3888
7
Finetuned LMs mBERT
77.2464
8
Zero-shot Chatgpt
69.801
9
Zero-shot Chatgpt with translated prompts
63.1293
10
Zero-shot BLOOMZ-P3-7B
49.9294
11
five-shot in-context learning LLaMA-7B
41.4137
12
Zero-shot BLOOMZ-7B
41.1963
13
five-shot in-context learning BLOOMZ-P3-7B
40.7703
14
three-shot in-context learning BLOOMZ-P3-7B
40.3307
15
three-shot in-context learning BLOOM-7B
35.7361
16
three-shot in-context learning LLaMA-7B
35.6301
17
Baseline Random
34.4147
18
five-shot in-context learning Vicuna-7B
33.4785
19
Zero-shot mT0-XL
32.4077
20
five-shot in-context learning BLOOM-7B
32.1828
21
three-shot in-context learning mT0-XL
29.4558
22
Zero-shot Bactrian-BLOOM
28.7587
23
five-shot in-context learning mT0-XL
27.1143
24
three-shot in-context learning Vicuna-7B
24.033
25
five-shot in-context learning mT5-XL
21.0697
26
three-shot in-context learning mT5-XL
20.0582
27
Baseline Majority
18.4448
28
Zero-shot Alpaca-7B
18.4448
29
Zero-shot LLaMA-7B
18.4448
30
Zero-shot mT5-XL
18.4448
31
Zero-shot BLOOM-7B
18.3908
32
Zero-shot Bactrian-LLaMA-7B
17.977
33
Zero-shot Vicuna-7B
14.9535