Emotion-vie-Ho
Task Identifier: emotion-2019-ho-vie
Cluster: Emotion Recognition
Data Type: vie
Score Metric: Weight-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
65.9179
2
Finetuned LMs InfoDCL
64.5813
3
Finetuned LMs XLM-RoBERTa-Base
63.5016
4
Finetuned LMs TwHIN-BERT
63.2227
5
Finetuned LMs Bernice
63.1226
6
Finetuned LMs XLM-Twitter
62.5013
7
Zero-shot Chatgpt
54.6937
8
Finetuned LMs mBERT
54.6289
9
Zero-shot Chatgpt with translated prompts
33.584
10
three-shot in-context learning Vicuna-7B
27.9135
11
Zero-shot mT0-XL
27.8077
12
five-shot in-context learning Vicuna-7B
27.6729
13
five-shot in-context learning mT0-XL
20.5183
14
three-shot in-context learning LLaMA-7B
18.5713
15
five-shot in-context learning LLaMA-7B
17.9429
16
three-shot in-context learning mT0-XL
16.6963
17
Zero-shot Alpaca-7B
16.3396
18
three-shot in-context learning BLOOM-7B
16.2007
19
Baseline Random
16.1162
20
five-shot in-context learning BLOOM-7B
15.4866
21
Zero-shot BLOOMZ-7B
14.9009
22
five-shot in-context learning BLOOMZ-P3-7B
12.2422
23
Zero-shot BLOOMZ-P3-7B
12.224
24
Baseline Majority
12.1333
25
three-shot in-context learning BLOOMZ-P3-7B
11.6588
26
Zero-shot Bactrian-LLaMA-7B
10.22
27
Zero-shot Bactrian-BLOOM
10.1992
28
Zero-shot Vicuna-7B
9.52425
29
three-shot in-context learning mT5-XL
8.02917
30
five-shot in-context learning mT5-XL
4.82474
31
Zero-shot BLOOM-7B
2.19213
32
Zero-shot LLaMA-7B
2.03903
33
Zero-shot mT5-XL
1.75876