Sentiment-deu-Mozetic
Task Identifier: sentiment-2016-mozetic-deu
Cluster: Sentiment Analysis
Data Type: deu
Score Metric: Macro-F1
Paper/GitHub/Website URL: N/A


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
64.2712
2
Finetuned LMs Bernice
62.7956
3
Finetuned LMs InfoDCL
62.531
4
Finetuned LMs XLM-Twitter
61.735
5
Finetuned LMs mBERT
61.6299
6
Finetuned LMs XLM-RoBERTa-Base
61.542
7
Finetuned LMs TwHIN-BERT
61.0751
8
Zero-shot Chatgpt
49.6973
9
Zero-shot Chatgpt with translated prompts
45.0622
10
five-shot in-context learning Vicuna-7B
39.666
11
Zero-shot Bactrian-LLaMA-7B
33.2088
12
Baseline Random
32.598
13
three-shot in-context learning Vicuna-7B
30.6401
14
Zero-shot BLOOMZ-7B
26.9611
15
Zero-shot BLOOMZ-P3-7B
26.1273
16
Zero-shot Vicuna-7B
25.5144
17
three-shot in-context learning BLOOM-7B
24.9044
18
Baseline Majority
24.3187
19
three-shot in-context learning LLaMA-7B
23.5806
20
five-shot in-context learning LLaMA-7B
22.9135
21
Zero-shot LLaMA-7B
22.504
22
five-shot in-context learning BLOOMZ-P3-7B
20.605
23
Zero-shot mT0-XL
20.5353
24
Zero-shot Bactrian-BLOOM
20.0963
25
three-shot in-context learning BLOOMZ-P3-7B
19.9065
26
three-shot in-context learning mT0-XL
17.9787
27
five-shot in-context learning BLOOM-7B
17.7942
28
Zero-shot BLOOM-7B
17.3642
29
three-shot in-context learning mT5-XL
17.2818
30
Zero-shot Alpaca-7B
15.8757
31
five-shot in-context learning mT5-XL
15.028
32
five-shot in-context learning mT0-XL
14.614
33
Zero-shot mT5-XL
9.78835