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


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs InfoDCL
77.3559
2
Finetuned LMs XLM-RoBERTa-Large
76.7225
3
Finetuned LMs mBERT
76.586
4
Finetuned LMs Bernice
75.7397
5
Finetuned LMs XLM-Twitter
74.7908
6
Finetuned LMs XLM-RoBERTa-Base
74.1911
7
Finetuned LMs TwHIN-BERT
71.5461
8
Zero-shot Chatgpt with translated prompts
58.0497
9
Zero-shot Chatgpt
52.6269
10
Zero-shot BLOOMZ-P3-7B
37.8883
11
five-shot in-context learning LLaMA-7B
36.3882
12
Baseline Random
34.7767
13
three-shot in-context learning LLaMA-7B
34.7302
14
three-shot in-context learning BLOOM-7B
33.5462
15
three-shot in-context learning BLOOMZ-P3-7B
33.4428
16
five-shot in-context learning BLOOMZ-P3-7B
32.8043
17
five-shot in-context learning BLOOM-7B
30.6576
18
three-shot in-context learning mT0-XL
29.7263
19
Zero-shot BLOOMZ-7B
28.2247
20
Zero-shot mT0-XL
24.7335
21
five-shot in-context learning Vicuna-7B
23.7247
22
Zero-shot BLOOM-7B
23.3119
23
five-shot in-context learning mT0-XL
23.121
24
three-shot in-context learning mT5-XL
21.7406
25
Zero-shot Bactrian-BLOOM
20.3986
26
Zero-shot LLaMA-7B
19.386
27
Zero-shot Alpaca-7B
19.3833
28
Baseline Majority
18.4448
29
Zero-shot mT5-XL
18.4448
30
five-shot in-context learning mT5-XL
18.2565
31
three-shot in-context learning Vicuna-7B
15.305
32
Zero-shot Bactrian-LLaMA-7B
14.4557
33
Zero-shot Vicuna-7B
12.7946