Sentiment-5-eng-Socher
Task Identifier: sentiment-5-2013-socher-eng
Cluster: Sentiment Analysis
Data Type: eng
Score Metric: Accuracy
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
54.8
2
Finetuned LMs XLM-RoBERTa-Base
53.9333
3
Finetuned LMs InfoDCL
53.6667
4
Finetuned LMs XLM-Twitter
53.6
5
Finetuned LMs Bernice
51.7333
6
Finetuned LMs TwHIN-BERT
51.5333
7
Finetuned LMs mBERT
49.7333
8
Zero-shot Chatgpt
49.6
9
Zero-shot Chatgpt with translated prompts
49.6
10
Zero-shot BLOOMZ-7B
48.6
11
Zero-shot BLOOMZ-P3-7B
48.4
12
Zero-shot mT0-XL
45.6
13
five-shot in-context learning LLaMA-7B
44
14
Zero-shot Alpaca-7B
40.4
15
three-shot in-context learning BLOOMZ-P3-7B
39.4
16
five-shot in-context learning BLOOMZ-P3-7B
38.4
17
five-shot in-context learning Vicuna-7B
37.8
18
three-shot in-context learning LLaMA-7B
37.2
19
five-shot in-context learning BLOOM-7B
30.6
20
three-shot in-context learning BLOOM-7B
30.4
21
three-shot in-context learning Vicuna-7B
29.4
22
Baseline Majority
28.6425
23
Zero-shot Bactrian-LLaMA-7B
28.6
24
Zero-shot mT5-XL
27.6
25
three-shot in-context learning mT0-XL
27
26
three-shot in-context learning mT5-XL
26.8
27
five-shot in-context learning mT5-XL
25.8
28
five-shot in-context learning mT0-XL
24.8
29
Zero-shot BLOOM-7B
24.8
30
Zero-shot LLaMA-7B
20
31
Baseline Random
19.8
32
Zero-shot Bactrian-BLOOM
19.8
33
Zero-shot Vicuna-7B
19.6