Hate-eng-Davidson
Task Identifier: hate-2017-davidson-eng
Cluster: Anti-Social
Data Type: eng
Score Metric: Weight-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Base
92.9558
2
Finetuned LMs XLM-RoBERTa-Large
92.056
3
Finetuned LMs Bernice
91.986
4
Finetuned LMs TwHIN-BERT
91.8036
5
Finetuned LMs XLM-Twitter
91.5751
6
Finetuned LMs mBERT
91.2792
7
Finetuned LMs InfoDCL
91.116
8
Zero-shot Alpaca-7B
73.1004
9
Zero-shot Chatgpt with translated prompts
69.5765
10
Zero-shot Chatgpt
69.5765
11
Baseline Majority
66.0716
12
Zero-shot Vicuna-7B
55.8948
13
Baseline Random
38.9747
14
three-shot in-context learning Vicuna-7B
35.8219
15
five-shot in-context learning Vicuna-7B
25.4305
16
Zero-shot BLOOMZ-P3-7B
25.4274
17
three-shot in-context learning mT5-XL
17.4054
18
Zero-shot mT5-XL
13.3648
19
Zero-shot BLOOMZ-7B
10.7826
20
five-shot in-context learning mT5-XL
9.76056
21
Zero-shot Bactrian-LLaMA-7B
9.48838
22
Zero-shot Bactrian-BLOOM
9.32313
23
five-shot in-context learning BLOOM-7B
9.18244
24
three-shot in-context learning mT0-XL
8.71154
25
three-shot in-context learning LLaMA-7B
8.54335
26
five-shot in-context learning LLaMA-7B
8.4145
27
five-shot in-context learning BLOOMZ-P3-7B
8.34575
28
Zero-shot LLaMA-7B
8.33214
29
three-shot in-context learning BLOOMZ-P3-7B
8.33214
30
Zero-shot mT0-XL
8.33214
31
five-shot in-context learning mT0-XL
8.33214
32
three-shot in-context learning BLOOM-7B
8.25197
33
Zero-shot BLOOM-7B
7.99308