Sentiment-bos-Mozetic
Task Identifier: sentiment-2016-mozetic-bos
Cluster: Sentiment Analysis
Data Type: bos
Score Metric: Macro-F1
Paper/GitHub/Website URL: N/A


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
71.9626
2
Finetuned LMs InfoDCL
68.305
3
Finetuned LMs XLM-RoBERTa-Base
68.1226
4
Finetuned LMs XLM-Twitter
67.2158
5
Finetuned LMs TwHIN-BERT
66.2823
6
Finetuned LMs Bernice
65.8299
7
Finetuned LMs mBERT
64.7524
8
Zero-shot Chatgpt
63.2217
9
Zero-shot Chatgpt with translated prompts
51.424
10
Baseline Random
34.373
11
three-shot in-context learning BLOOM-7B
32.0234
12
Zero-shot BLOOMZ-P3-7B
31.8002
13
five-shot in-context learning LLaMA-7B
31.2758
14
three-shot in-context learning LLaMA-7B
31.2335
15
five-shot in-context learning Vicuna-7B
30.6389
16
Zero-shot LLaMA-7B
27.9174
17
five-shot in-context learning BLOOM-7B
26.5197
18
Zero-shot BLOOMZ-7B
26.3945
19
three-shot in-context learning BLOOMZ-P3-7B
26.2243
20
five-shot in-context learning BLOOMZ-P3-7B
25.8612
21
three-shot in-context learning mT0-XL
24.5881
22
Zero-shot BLOOM-7B
24.5766
23
Zero-shot Bactrian-BLOOM
24.0453
24
three-shot in-context learning Vicuna-7B
22.7463
25
Zero-shot Bactrian-LLaMA-7B
22.162
26
five-shot in-context learning mT0-XL
21.813
27
Zero-shot mT0-XL
21.1563
28
five-shot in-context learning mT5-XL
20.5386
29
Zero-shot Alpaca-7B
19.3208
30
Baseline Majority
18.3582
31
three-shot in-context learning mT5-XL
18.2465
32
Zero-shot Vicuna-7B
16.7151
33
Zero-shot mT5-XL
16.3142