Sentiment-Yt-eng-Thelwall
Task Identifier: sentiment-yt-2012-thelwall-eng
Cluster: Sentiment Analysis
Data Type: eng
Score Metric: Accuracy
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs InfoDCL
93.3333
2
Finetuned LMs XLM-Twitter
93.2
3
Finetuned LMs Bernice
92.8667
4
Finetuned LMs XLM-RoBERTa-Base
90.8
5
Finetuned LMs TwHIN-BERT
90.4
6
Zero-shot Chatgpt with translated prompts
90
7
Zero-shot Chatgpt
90
8
Finetuned LMs mBERT
86
9
Zero-shot Bactrian-LLaMA-7B
85.2
10
Zero-shot BLOOMZ-P3-7B
85.2
11
Zero-shot BLOOMZ-7B
84.8
12
Finetuned LMs XLM-RoBERTa-Large
83.8667
13
Zero-shot mT0-XL
81.6
14
five-shot in-context learning Vicuna-7B
80.2
15
five-shot in-context learning LLaMA-7B
79.6
16
three-shot in-context learning Vicuna-7B
79.2
17
three-shot in-context learning LLaMA-7B
72.8
18
three-shot in-context learning mT0-XL
71
19
five-shot in-context learning mT0-XL
68.4
20
Baseline Majority
68.0385
21
five-shot in-context learning BLOOM-7B
64.8
22
five-shot in-context learning BLOOMZ-P3-7B
61.6
23
three-shot in-context learning BLOOMZ-P3-7B
61.6
24
three-shot in-context learning BLOOM-7B
59.2
25
Baseline Random
50.2
26
Zero-shot Alpaca-7B
47.4
27
Zero-shot BLOOM-7B
42.4
28
Zero-shot Bactrian-BLOOM
36.8
29
three-shot in-context learning mT5-XL
34
30
Zero-shot Vicuna-7B
33.2
31
Zero-shot LLaMA-7B
32.6
32
five-shot in-context learning mT5-XL
31.8
33
Zero-shot mT5-XL
30.6