Sentiment-tha-Suriyawongkul
Task Identifier: sentiment-2019-suriyawongkul-t
Cluster: Sentiment Analysis
Data Type: tha
Score Metric: Macro-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs InfoDCL
75.1656
2
Finetuned LMs XLM-RoBERTa-Base
72.1788
3
Finetuned LMs Bernice
71.9949
4
Finetuned LMs TwHIN-BERT
71.9034
5
Finetuned LMs XLM-Twitter
71.887
6
Finetuned LMs XLM-RoBERTa-Large
71.8186
7
Finetuned LMs mBERT
65.0719
8
Zero-shot Chatgpt
52.8142
9
Zero-shot Chatgpt with translated prompts
35.6874
10
five-shot in-context learning Vicuna-7B
32.0696
11
Baseline Random
31.2637
12
Zero-shot Bactrian-LLaMA-7B
29.4367
13
three-shot in-context learning Vicuna-7B
29.3833
14
Zero-shot Vicuna-7B
24.3964
15
Zero-shot mT0-XL
23.9366
16
Baseline Majority
23.8177
17
five-shot in-context learning LLaMA-7B
22.0319
18
three-shot in-context learning LLaMA-7B
21.2046
19
three-shot in-context learning BLOOM-7B
20.6553
20
Zero-shot BLOOM-7B
20.648
21
Zero-shot BLOOMZ-7B
20.515
22
Zero-shot BLOOMZ-P3-7B
20.1592
23
three-shot in-context learning mT0-XL
18.9733
24
five-shot in-context learning BLOOMZ-P3-7B
18.4799
25
five-shot in-context learning BLOOM-7B
18.2063
26
five-shot in-context learning mT5-XL
17.5154
27
three-shot in-context learning mT5-XL
17.0662
28
Zero-shot Alpaca-7B
14.208
29
five-shot in-context learning mT0-XL
13.4832
30
Zero-shot mT5-XL
13.3333
31
Zero-shot LLaMA-7B
13.2905
32
three-shot in-context learning BLOOMZ-P3-7B
12.6369
33
Zero-shot Bactrian-BLOOM
11.0391