Sentiment-mal-Chakravarthi
Task Identifier: sentiment-2022-chakravarthi-ma
Cluster: Sentiment Analysis
Data Type: mal
Score Metric: Macro-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
86.4498
2
Finetuned LMs XLM-Twitter
84.2285
3
Finetuned LMs Bernice
84.0318
4
Finetuned LMs TwHIN-BERT
83.9996
5
Finetuned LMs mBERT
83.9988
6
Finetuned LMs InfoDCL
83.8796
7
Finetuned LMs XLM-RoBERTa-Base
83.4994
8
Zero-shot Chatgpt
68.7498
9
Zero-shot BLOOMZ-P3-7B
66.8665
10
Zero-shot BLOOMZ-7B
62.1579
11
Zero-shot Bactrian-LLaMA-7B
61.3729
12
Zero-shot Chatgpt with translated prompts
57.9584
13
Zero-shot mT0-XL
56.5095
14
five-shot in-context learning BLOOMZ-P3-7B
55.2538
15
five-shot in-context learning LLaMA-7B
54.6326
16
three-shot in-context learning BLOOMZ-P3-7B
54.3468
17
five-shot in-context learning BLOOM-7B
53.0447
18
five-shot in-context learning mT0-XL
53.0409
19
three-shot in-context learning LLaMA-7B
50.9854
20
Baseline Random
50.6627
21
three-shot in-context learning mT0-XL
49.6283
22
three-shot in-context learning BLOOM-7B
48.1362
23
Baseline Majority
42.0524
24
three-shot in-context learning Vicuna-7B
39.9765
25
five-shot in-context learning Vicuna-7B
36.3683
26
Zero-shot LLaMA-7B
35.537
27
three-shot in-context learning mT5-XL
26.4193
28
Zero-shot BLOOM-7B
25.8138
29
Zero-shot Vicuna-7B
25.651
30
Zero-shot Bactrian-BLOOM
24.7558
31
five-shot in-context learning mT5-XL
23.7214
32
Zero-shot Alpaca-7B
23.1771
33
Zero-shot mT5-XL
22.2395