Sentiment-tso-Muhammad
Task Identifier: sentiment-2022-muhammad-tso
Cluster: Sentiment Analysis
Data Type: tso
Score Metric: Weight-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-Twitter
53.7627
2
Finetuned LMs InfoDCL
52.5494
3
Finetuned LMs Bernice
52.4687
4
Finetuned LMs TwHIN-BERT
50.5103
5
Finetuned LMs XLM-RoBERTa-Base
48.5585
6
Finetuned LMs XLM-RoBERTa-Large
47.0228
7
Zero-shot BLOOMZ-P3-7B
45.5379
8
Finetuned LMs mBERT
42.6424
9
Zero-shot Chatgpt
42.5827
10
three-shot in-context learning LLaMA-7B
40.8135
11
five-shot in-context learning BLOOMZ-P3-7B
39.3707
12
Zero-shot BLOOMZ-7B
38.426
13
five-shot in-context learning LLaMA-7B
38.1136
14
three-shot in-context learning BLOOM-7B
35.7564
15
three-shot in-context learning mT0-XL
35.3018
16
three-shot in-context learning BLOOMZ-P3-7B
35.1944
17
Baseline Random
34.0255
18
Zero-shot Chatgpt with translated prompts
33.0021
19
five-shot in-context learning BLOOM-7B
32.8269
20
five-shot in-context learning mT0-XL
30.9125
21
Zero-shot mT0-XL
30.7423
22
Baseline Majority
30.7423
23
Zero-shot Bactrian-BLOOM
25.4153
24
Zero-shot LLaMA-7B
24.5765
25
three-shot in-context learning mT5-XL
23.7276
26
Zero-shot Bactrian-LLaMA-7B
23.3013
27
five-shot in-context learning Vicuna-7B
22.5267
28
Zero-shot BLOOM-7B
21.6498
29
Zero-shot Alpaca-7B
21.0453
30
five-shot in-context learning mT5-XL
20.8586
31
Zero-shot mT5-XL
18.5406
32
three-shot in-context learning Vicuna-7B
8.22587
33
Zero-shot Vicuna-7B
6.50329