Sentiment-zho-Tan
Task Identifier: sentiment-2008-tan-zho
Cluster: Sentiment Analysis
Data Type: zho
Score Metric: Macro-F1
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs Bernice
96.8541
2
Finetuned LMs TwHIN-BERT
96.7898
3
Finetuned LMs XLM-Twitter
96.6511
4
Finetuned LMs XLM-RoBERTa-Large
96.4531
5
Finetuned LMs InfoDCL
95.9162
6
Finetuned LMs XLM-RoBERTa-Base
95.8476
7
Finetuned LMs mBERT
95.7234
8
Zero-shot BLOOMZ-7B
90.5232
9
Zero-shot Chatgpt
90.1622
10
Zero-shot Chatgpt with translated prompts
88.5897
11
Zero-shot BLOOMZ-P3-7B
87.7313
12
Zero-shot mT0-XL
86.5746
13
five-shot in-context learning Vicuna-7B
82.3997
14
three-shot in-context learning Vicuna-7B
81.5926
15
Zero-shot Bactrian-LLaMA-7B
79.4191
16
five-shot in-context learning BLOOMZ-P3-7B
75.2672
17
three-shot in-context learning BLOOMZ-P3-7B
71.9077
18
five-shot in-context learning LLaMA-7B
70.5999
19
three-shot in-context learning LLaMA-7B
64.7436
20
Zero-shot Bactrian-BLOOM
58.3173
21
Zero-shot LLaMA-7B
56.8323
22
three-shot in-context learning mT0-XL
54.0399
23
five-shot in-context learning BLOOM-7B
50.8513
24
three-shot in-context learning BLOOM-7B
49.7409
25
Zero-shot Alpaca-7B
49.5947
26
Baseline Random
49.0402
27
five-shot in-context learning mT0-XL
47.8207
28
Zero-shot Vicuna-7B
45.3102
29
Zero-shot BLOOM-7B
36.4035
30
Baseline Majority
33.4073
31
three-shot in-context learning mT5-XL
32.2981
32
five-shot in-context learning mT5-XL
31.8801
33
Zero-shot mT5-XL
31.8801