Hate-Target-kor-Jeong
Task Identifier: hate-target-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
68.4805
2
Finetuned LMs XLM-RoBERTa-Base
66.4336
3
Finetuned LMs Bernice
64.4667
4
Finetuned LMs TwHIN-BERT
64.162
5
Finetuned LMs InfoDCL
63.2545
6
Finetuned LMs mBERT
60.9766
7
Finetuned LMs XLM-Twitter
51.3522
8
Zero-shot Chatgpt
41.3548
9
Zero-shot Chatgpt with translated prompts
29.6741
10
Baseline Random
22.5061
11
Zero-shot BLOOM-7B
19.3721
12
Baseline Majority
19.0162
13
five-shot in-context learning BLOOM-7B
18.7998
14
five-shot in-context learning Vicuna-7B
18.3552
15
five-shot in-context learning mT0-XL
18.0913
16
three-shot in-context learning mT0-XL
17.7737
17
Zero-shot mT0-XL
16.9138
18
three-shot in-context learning Vicuna-7B
16.8902
19
three-shot in-context learning BLOOM-7B
15.2924
20
Zero-shot Alpaca-7B
15.2681
21
Zero-shot Bactrian-BLOOM
15.1363
22
five-shot in-context learning LLaMA-7B
12.6945
23
Zero-shot Vicuna-7B
9.95864
24
three-shot in-context learning LLaMA-7B
9.02062
25
Zero-shot Bactrian-LLaMA-7B
8.98773
26
Zero-shot LLaMA-7B
7.55581
27
three-shot in-context learning mT5-XL
7.24297
28
five-shot in-context learning mT5-XL
6.8426
29
Zero-shot mT5-XL
4.27917
30
Zero-shot BLOOMZ-P3-7B
3.87454
31
five-shot in-context learning BLOOMZ-P3-7B
3.87454
32
Zero-shot BLOOMZ-7B
3.87454
33
three-shot in-context learning BLOOMZ-P3-7B
3.78928