Hate-spa-Basile
Task Identifier: hate-2019-basile-spa
Cluster: Anti-Social
Data Type: spa
Score Metric: Macro-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs Bernice
78.2002
2
Finetuned LMs TwHIN-BERT
77.5853
3
Finetuned LMs XLM-Twitter
77.3651
4
Finetuned LMs InfoDCL
76.9596
5
Finetuned LMs XLM-RoBERTa-Base
76.26
6
Finetuned LMs XLM-RoBERTa-Large
74.6381
7
Finetuned LMs mBERT
74.181
8
Zero-shot Chatgpt
64.9284
9
five-shot in-context learning Vicuna-7B
60.9002
10
Zero-shot Alpaca-7B
59.1582
11
three-shot in-context learning Vicuna-7B
58.9851
12
three-shot in-context learning mT5-XL
54.5004
13
Zero-shot Chatgpt with translated prompts
54.4345
14
five-shot in-context learning mT5-XL
52.2195
15
Zero-shot Bactrian-LLaMA-7B
52.209
16
Zero-shot Bactrian-BLOOM
48.6775
17
three-shot in-context learning LLaMA-7B
47.6342
18
Zero-shot BLOOM-7B
46.6081
19
five-shot in-context learning LLaMA-7B
45.6763
20
Baseline Random
44.5902
21
three-shot in-context learning BLOOM-7B
40.9435
22
Zero-shot LLaMA-7B
38.9477
23
five-shot in-context learning BLOOM-7B
38.2572
24
three-shot in-context learning mT0-XL
37.8828
25
Zero-shot BLOOMZ-7B
37.5
26
three-shot in-context learning BLOOMZ-P3-7B
37.5
27
Zero-shot Vicuna-7B
37.5
28
Zero-shot mT0-XL
37.5
29
five-shot in-context learning BLOOMZ-P3-7B
37.5
30
five-shot in-context learning mT0-XL
37.5
31
Zero-shot BLOOMZ-P3-7B
37.5
32
Baseline Majority
37.0224
33
Zero-shot mT5-XL
31.0645