Offensive-eng-Zampieri
Task Identifier: offensive-2019-zampieri-eng
Cluster: Anti-Social
Data Type: eng
Score Metric: Macro-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs InfoDCL
78.6678
2
Finetuned LMs Bernice
77.7537
3
Finetuned LMs XLM-Twitter
77.0701
4
Finetuned LMs XLM-RoBERTa-Large
76.4355
5
Finetuned LMs TwHIN-BERT
76.0742
6
Finetuned LMs XLM-RoBERTa-Base
75.1021
7
Finetuned LMs mBERT
75.074
8
Zero-shot Chatgpt with translated prompts
67.9048
9
Zero-shot Chatgpt
67.9048
10
three-shot in-context learning Vicuna-7B
60.7168
11
Zero-shot Vicuna-7B
59.6742
12
five-shot in-context learning Vicuna-7B
54.3244
13
three-shot in-context learning LLaMA-7B
49.5623
14
five-shot in-context learning LLaMA-7B
45.6926
15
three-shot in-context learning BLOOM-7B
45.0074
16
Baseline Random
44.1964
17
five-shot in-context learning BLOOM-7B
43.9403
18
Zero-shot BLOOMZ-P3-7B
42.6184
19
three-shot in-context learning BLOOMZ-P3-7B
42.0626
20
Zero-shot BLOOM-7B
42.0626
21
five-shot in-context learning mT0-XL
42.0626
22
five-shot in-context learning BLOOMZ-P3-7B
42.0626
23
Zero-shot BLOOMZ-7B
42.0626
24
three-shot in-context learning mT0-XL
42.0626
25
Zero-shot mT0-XL
42.0626
26
Zero-shot Bactrian-BLOOM
42.0626
27
Zero-shot Bactrian-LLaMA-7B
42.0626
28
Zero-shot LLaMA-7B
42.0626
29
Baseline Majority
41.8919
30
five-shot in-context learning mT5-XL
34.3367
31
Zero-shot Alpaca-7B
25.5687
32
Zero-shot mT5-XL
23.9719
33
three-shot in-context learning mT5-XL
23.208