Sentiment-fre-Kajava
Task Identifier: sentiment-2018-kajava-fre
Cluster: Sentiment Analysis
Data Type: fre
Score Metric: Macro-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
88.701
2
Zero-shot Chatgpt with translated prompts
88.3814
3
Zero-shot Chatgpt
87.9566
4
Finetuned LMs InfoDCL
87.4959
5
Finetuned LMs Bernice
86.1183
6
Finetuned LMs XLM-Twitter
85.3434
7
Finetuned LMs XLM-RoBERTa-Base
84.21
8
Finetuned LMs TwHIN-BERT
82.6529
9
Finetuned LMs mBERT
78.4387
10
five-shot in-context learning Vicuna-7B
77.5371
11
five-shot in-context learning BLOOMZ-P3-7B
76.1082
12
Zero-shot BLOOMZ-7B
71.7116
13
Zero-shot BLOOMZ-P3-7B
70.8773
14
three-shot in-context learning Vicuna-7B
70.0458
15
Zero-shot Vicuna-7B
68.8087
16
five-shot in-context learning LLaMA-7B
66.0954
17
three-shot in-context learning LLaMA-7B
62.2191
18
five-shot in-context learning BLOOM-7B
60.9191
19
Zero-shot Alpaca-7B
60.4941
20
three-shot in-context learning BLOOMZ-P3-7B
60.1974
21
Zero-shot mT0-XL
58.6662
22
three-shot in-context learning BLOOM-7B
57.895
23
Zero-shot Bactrian-LLaMA-7B
54.0401
24
three-shot in-context learning mT0-XL
50.5636
25
Zero-shot LLaMA-7B
49.5785
26
Baseline Random
47.6979
27
five-shot in-context learning mT0-XL
47.0985
28
three-shot in-context learning mT5-XL
43.9279
29
Zero-shot Bactrian-BLOOM
42.5362
30
Zero-shot BLOOM-7B
35.7155
31
five-shot in-context learning mT5-XL
35.7155
32
Baseline Majority
35.665
33
Zero-shot mT5-XL
35.2332