Sentiment-ita-Basile
Task Identifier: sentiment-2016-basile-ita
Cluster: Sentiment Analysis
Data Type: ita
Score Metric: Macro-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Zero-shot Chatgpt with translated prompts
85.4423
2
Finetuned LMs InfoDCL
84.7343
3
Zero-shot Chatgpt
83.0898
4
Finetuned LMs XLM-RoBERTa-Large
82.942
5
Finetuned LMs Bernice
79.9305
6
Finetuned LMs TwHIN-BERT
79.8508
7
Finetuned LMs XLM-RoBERTa-Base
78.5121
8
five-shot in-context learning Vicuna-7B
75.5717
9
Finetuned LMs XLM-Twitter
74.09
10
three-shot in-context learning Vicuna-7B
73.0439
11
Zero-shot Vicuna-7B
67.6166
12
Finetuned LMs mBERT
66.6781
13
five-shot in-context learning LLaMA-7B
65.2406
14
Zero-shot BLOOMZ-P3-7B
63.7093
15
Zero-shot LLaMA-7B
57.9655
16
three-shot in-context learning LLaMA-7B
57.2993
17
Zero-shot Alpaca-7B
52.7079
18
five-shot in-context learning BLOOMZ-P3-7B
51.5018
19
three-shot in-context learning BLOOMZ-P3-7B
50.6337
20
three-shot in-context learning BLOOM-7B
50.3284
21
three-shot in-context learning mT5-XL
49.992
22
five-shot in-context learning BLOOM-7B
49.8536
23
Baseline Random
49.6115
24
Zero-shot BLOOM-7B
46.6092
25
Zero-shot BLOOMZ-7B
45.3708
26
Zero-shot mT0-XL
44.9918
27
five-shot in-context learning mT5-XL
44.2891
28
Zero-shot Bactrian-LLaMA-7B
42.8633
29
Zero-shot Bactrian-BLOOM
42.6262
30
Baseline Majority
41.088
31
Zero-shot mT5-XL
40.7583
32
three-shot in-context learning mT0-XL
39.5789
33
five-shot in-context learning mT0-XL
34.9658