Sentiment-mar-Kulkarni
Task Identifier: sentiment-2021-kulkarni-mar
Cluster: Sentiment Analysis
Data Type: mar
Score Metric: Accuracy
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs InfoDCL
86.4667
2
Finetuned LMs XLM-RoBERTa-Base
86.4
3
Finetuned LMs XLM-RoBERTa-Large
86.0667
4
Finetuned LMs TwHIN-BERT
86
5
Finetuned LMs XLM-Twitter
84.9333
6
Finetuned LMs Bernice
84.4
7
Finetuned LMs mBERT
84
8
Zero-shot Chatgpt
68.6
9
Zero-shot Chatgpt with translated prompts
50.2
10
five-shot in-context learning LLaMA-7B
47.6
11
Zero-shot BLOOMZ-7B
46.2
12
Zero-shot BLOOMZ-P3-7B
43.8
13
five-shot in-context learning Vicuna-7B
43.2
14
three-shot in-context learning Vicuna-7B
38.6
15
Zero-shot Alpaca-7B
38.2
16
five-shot in-context learning BLOOMZ-P3-7B
37.6
17
three-shot in-context learning BLOOMZ-P3-7B
37.6
18
three-shot in-context learning LLaMA-7B
37.2
19
three-shot in-context learning mT5-XL
36.8
20
Zero-shot LLaMA-7B
36.8
21
Zero-shot Bactrian-LLaMA-7B
36.4
22
five-shot in-context learning BLOOM-7B
36.4
23
Zero-shot Bactrian-BLOOM
35.8
24
Zero-shot mT0-XL
35.4
25
Zero-shot BLOOM-7B
35.4
26
Zero-shot mT5-XL
35
27
Zero-shot Vicuna-7B
34.4
28
five-shot in-context learning mT5-XL
34.4
29
Baseline Majority
33.3333
30
three-shot in-context learning BLOOM-7B
32
31
three-shot in-context learning mT0-XL
31.8
32
five-shot in-context learning mT0-XL
31.4
33
Baseline Random
29.6