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


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs XLM-RoBERTa-Large
77.4016
2
Finetuned LMs XLM-Twitter
76.9404
3
Finetuned LMs XLM-RoBERTa-Base
75.9774
4
Finetuned LMs Bernice
75.9004
5
Finetuned LMs InfoDCL
75.8677
6
Finetuned LMs TwHIN-BERT
73.7786
7
Finetuned LMs mBERT
70.9054
8
Zero-shot Chatgpt
65.9776
9
Zero-shot Bactrian-LLaMA-7B
63.6886
10
Zero-shot BLOOMZ-P3-7B
61.2905
11
Zero-shot BLOOMZ-7B
58.0594
12
Zero-shot Chatgpt with translated prompts
55.926
13
five-shot in-context learning LLaMA-7B
55.6607
14
five-shot in-context learning BLOOMZ-P3-7B
54.0495
15
three-shot in-context learning BLOOMZ-P3-7B
52.9766
16
five-shot in-context learning mT0-XL
51.6164
17
Zero-shot mT0-XL
50.6353
18
five-shot in-context learning BLOOM-7B
48.991
19
three-shot in-context learning mT0-XL
47.1645
20
three-shot in-context learning LLaMA-7B
45.591
21
Baseline Majority
45.0694
22
Baseline Random
44.6079
23
three-shot in-context learning BLOOM-7B
44.4444
24
three-shot in-context learning Vicuna-7B
36.7244
25
five-shot in-context learning Vicuna-7B
35.9744
26
Zero-shot BLOOM-7B
26.7311
27
Zero-shot LLaMA-7B
22.5211
28
three-shot in-context learning mT5-XL
22.2427
29
Zero-shot Bactrian-BLOOM
19.3743
30
Zero-shot Vicuna-7B
17.8518
31
five-shot in-context learning mT5-XL
17.2649
32
Zero-shot Alpaca-7B
16.5894
33
Zero-shot mT5-XL
15.3976