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


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs Bernice
96.2667
2
Finetuned LMs InfoDCL
95.6667
3
Finetuned LMs XLM-RoBERTa-Base
95.3333
4
Finetuned LMs TwHIN-BERT
95.2667
5
Finetuned LMs XLM-Twitter
95
6
Finetuned LMs XLM-RoBERTa-Large
95
7
Finetuned LMs mBERT
94.2
8
Zero-shot BLOOMZ-7B
91.2
9
Zero-shot mT0-XL
91.2
10
Zero-shot BLOOMZ-P3-7B
90.8
11
five-shot in-context learning BLOOMZ-P3-7B
90.2
12
three-shot in-context learning BLOOMZ-P3-7B
90.2
13
Baseline Majority
88.6972
14
Zero-shot Bactrian-BLOOM
87.8
15
Zero-shot LLaMA-7B
87
16
five-shot in-context learning mT5-XL
84.4
17
Zero-shot Vicuna-7B
83.6
18
five-shot in-context learning Vicuna-7B
78.2
19
Zero-shot BLOOM-7B
77.6
20
Zero-shot Chatgpt with translated prompts
74.6
21
Zero-shot Chatgpt
74.6
22
three-shot in-context learning LLaMA-7B
71.2
23
three-shot in-context learning Vicuna-7B
70.4
24
Zero-shot Bactrian-LLaMA-7B
69.6
25
three-shot in-context learning mT5-XL
62.8
26
five-shot in-context learning LLaMA-7B
61.8
27
three-shot in-context learning mT0-XL
57.4
28
Baseline Random
48.8
29
three-shot in-context learning BLOOM-7B
40.4
30
five-shot in-context learning BLOOM-7B
36.6
31
five-shot in-context learning mT0-XL
32.6
32
Zero-shot mT5-XL
19.6
33
Zero-shot Alpaca-7B
15