Sentiment-ita-Rei
Task Identifier: sentiment-2016-rei-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
51.1953
2
Finetuned LMs XLM-Twitter
50.8769
3
Finetuned LMs XLM-RoBERTa-Base
49.5704
4
Finetuned LMs TwHIN-BERT
48.0776
5
Finetuned LMs XLM-RoBERTa-Large
47.3196
6
Finetuned LMs mBERT
47.2907
7
Finetuned LMs Bernice
47.1428
8
three-shot in-context learning Vicuna-7B
45.4043
9
five-shot in-context learning Vicuna-7B
40.6753
10
Zero-shot Bactrian-LLaMA-7B
38.9494
11
Baseline Majority
31.4528
12
Zero-shot Vicuna-7B
31.1679
13
Zero-shot Chatgpt with translated prompts
30.6057
14
Zero-shot BLOOM-7B
27.9222
15
Zero-shot Chatgpt
25.3878
16
Zero-shot Bactrian-BLOOM
25.3869
17
Baseline Random
23.7644
18
three-shot in-context learning BLOOM-7B
17.9234
19
Zero-shot LLaMA-7B
14.7975
20
Zero-shot BLOOMZ-P3-7B
12.4471
21
Zero-shot mT0-XL
11.3019
22
three-shot in-context learning LLaMA-7B
11.077
23
Zero-shot BLOOMZ-7B
10.7527
24
Zero-shot Alpaca-7B
10.5862
25
five-shot in-context learning LLaMA-7B
10.4546
26
five-shot in-context learning BLOOMZ-P3-7B
10.3803
27
five-shot in-context learning mT5-XL
8.4221
28
three-shot in-context learning mT0-XL
8.36681
29
three-shot in-context learning BLOOMZ-P3-7B
8.35903
30
five-shot in-context learning BLOOM-7B
7.82291
31
three-shot in-context learning mT5-XL
7.67462
32
five-shot in-context learning mT0-XL
7.24317
33
Zero-shot mT5-XL
3.45208