Sarcasm-eng-Bamman
Task Identifier: sarcasm-2015-bamman-eng
Cluster: Irony & Sarcasm
Data Type: eng
Score Metric: Accuracy
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs Bernice
82.4
2
Finetuned LMs TwHIN-BERT
82.3333
3
Finetuned LMs InfoDCL
82.2667
4
Finetuned LMs XLM-RoBERTa-Large
80.9333
5
Finetuned LMs XLM-Twitter
80.8667
6
Finetuned LMs XLM-RoBERTa-Base
80.4
7
Finetuned LMs mBERT
79.7333
8
Zero-shot Chatgpt with translated prompts
64.6
9
Zero-shot Chatgpt
64.6
10
five-shot in-context learning Vicuna-7B
58
11
Zero-shot Bactrian-LLaMA-7B
55.2
12
five-shot in-context learning LLaMA-7B
54.6
13
three-shot in-context learning Vicuna-7B
53.4
14
five-shot in-context learning mT5-XL
53.2
15
three-shot in-context learning mT5-XL
52.8
16
five-shot in-context learning BLOOMZ-P3-7B
52.6
17
five-shot in-context learning mT0-XL
52.4
18
three-shot in-context learning LLaMA-7B
52.4
19
Zero-shot Vicuna-7B
52.2
20
Baseline Random
52.2
21
Zero-shot Alpaca-7B
52
22
Zero-shot mT0-XL
52
23
Zero-shot BLOOMZ-7B
52
24
three-shot in-context learning BLOOMZ-P3-7B
52
25
Zero-shot BLOOMZ-P3-7B
51.8
26
three-shot in-context learning mT0-XL
51.2
27
Zero-shot Bactrian-BLOOM
50.6
28
Baseline Majority
49.3261
29
Zero-shot LLaMA-7B
49.2
30
Zero-shot mT5-XL
49
31
five-shot in-context learning BLOOM-7B
48.8
32
Zero-shot BLOOM-7B
48.6
33
three-shot in-context learning BLOOM-7B
45.8