Sentiment-eng-Pang
Task Identifier: sentiment-2005-pang-eng
Cluster: Sentiment Analysis
Data Type: eng
Score Metric: Accuracy
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Zero-shot BLOOMZ-7B
97.2
2
Zero-shot BLOOMZ-P3-7B
96.8
3
Finetuned LMs XLM-RoBERTa-Large
89.6
4
Zero-shot Chatgpt with translated prompts
88.4
5
Zero-shot Chatgpt
88.4
6
Finetuned LMs XLM-Twitter
87.2
7
three-shot in-context learning Vicuna-7B
87
8
Finetuned LMs InfoDCL
86.9333
9
five-shot in-context learning Vicuna-7B
86.8
10
Finetuned LMs XLM-RoBERTa-Base
86.0667
11
Finetuned LMs TwHIN-BERT
85.5333
12
Finetuned LMs Bernice
85.2
13
five-shot in-context learning LLaMA-7B
84.4
14
Finetuned LMs mBERT
81.6
15
Zero-shot Bactrian-LLaMA-7B
80.4
16
Zero-shot mT0-XL
76.8
17
three-shot in-context learning LLaMA-7B
73
18
five-shot in-context learning BLOOMZ-P3-7B
71.4
19
three-shot in-context learning BLOOMZ-P3-7B
70.2
20
five-shot in-context learning BLOOM-7B
62
21
Zero-shot LLaMA-7B
61.8
22
Zero-shot Alpaca-7B
60.2
23
Zero-shot Bactrian-BLOOM
56.4
24
three-shot in-context learning mT0-XL
55.6
25
Zero-shot Vicuna-7B
55.4
26
three-shot in-context learning BLOOM-7B
55
27
five-shot in-context learning mT0-XL
53.6
28
Baseline Random
51.8
29
Zero-shot BLOOM-7B
51.6
30
three-shot in-context learning mT5-XL
51.4
31
five-shot in-context learning mT5-XL
51.4
32
Zero-shot mT5-XL
51.4
33
Baseline Majority
50.0469