Hate-kor-Jeong
Task Identifier: hate-2022-jeong-kor
Cluster: Anti-Social
Data Type: kor
Score Metric: Macro-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
81.6544
2
Finetuned LMs TwHIN-BERT
80.8502
3
Finetuned LMs Bernice
80.1928
4
Finetuned LMs XLM-Twitter
79.396
5
Finetuned LMs InfoDCL
79.316
6
Finetuned LMs mBERT
79.0314
7
Finetuned LMs XLM-RoBERTa-Base
78.5037
8
Zero-shot Chatgpt
63.6064
9
Zero-shot Chatgpt with translated prompts
58.3648
10
Baseline Random
51.9623
11
Zero-shot Bactrian-LLaMA-7B
51.3022
12
five-shot in-context learning Vicuna-7B
47.4354
13
three-shot in-context learning Vicuna-7B
46.9277
14
three-shot in-context learning mT5-XL
43.8305
15
three-shot in-context learning LLaMA-7B
42.699
16
Zero-shot Alpaca-7B
40.0627
17
five-shot in-context learning mT5-XL
39.0056
18
five-shot in-context learning LLaMA-7B
38.6058
19
Zero-shot mT5-XL
35.772
20
Zero-shot BLOOM-7B
35.5509
21
Zero-shot Bactrian-BLOOM
34.7466
22
five-shot in-context learning BLOOM-7B
34.1366
23
Zero-shot LLaMA-7B
33.8667
24
three-shot in-context learning BLOOM-7B
33.8667
25
three-shot in-context learning BLOOMZ-P3-7B
33.687
26
five-shot in-context learning mT0-XL
33.687
27
five-shot in-context learning BLOOMZ-P3-7B
33.687
28
three-shot in-context learning mT0-XL
33.687
29
Zero-shot BLOOMZ-7B
33.687
30
Zero-shot BLOOMZ-P3-7B
33.687
31
Zero-shot Vicuna-7B
33.687
32
Zero-shot mT0-XL
33.687
33
Baseline Majority
33.3278