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


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs InfoDCL
86.1687
2
Finetuned LMs TwHIN-BERT
86.0511
3
Zero-shot Chatgpt
86.031
4
Finetuned LMs XLM-RoBERTa-Base
85.6969
5
Zero-shot Chatgpt with translated prompts
85.0995
6
Finetuned LMs XLM-Twitter
84.747
7
Finetuned LMs Bernice
84.5864
8
Finetuned LMs mBERT
79.2138
9
Finetuned LMs XLM-RoBERTa-Large
70.2148
10
five-shot in-context learning Vicuna-7B
69.066
11
three-shot in-context learning Vicuna-7B
67.9364
12
five-shot in-context learning BLOOMZ-P3-7B
66.6956
13
five-shot in-context learning LLaMA-7B
66.6635
14
Zero-shot BLOOMZ-P3-7B
65.2386
15
Zero-shot mT0-XL
64.7622
16
Zero-shot Vicuna-7B
64.5945
17
three-shot in-context learning LLaMA-7B
62.7994
18
Zero-shot BLOOM-7B
59.4263
19
five-shot in-context learning BLOOM-7B
58.3466
20
Zero-shot LLaMA-7B
57.6496
21
three-shot in-context learning BLOOMZ-P3-7B
57.4161
22
Zero-shot Alpaca-7B
56.6716
23
Zero-shot BLOOMZ-7B
56.2818
24
three-shot in-context learning BLOOM-7B
55.6873
25
Zero-shot Bactrian-LLaMA-7B
53.5283
26
Baseline Random
49.6532
27
three-shot in-context learning mT0-XL
47.6709
28
five-shot in-context learning mT0-XL
45.9378
29
three-shot in-context learning mT5-XL
38.8932
30
Zero-shot Bactrian-BLOOM
36.4802
31
five-shot in-context learning mT5-XL
35.9795
32
Zero-shot mT5-XL
35.9795
33
Baseline Majority
35.665