Sentiment-eng-Rosenthal
Task Identifier: sentiment-2017-rosenthal-eng
Cluster: Sentiment Analysis
Data Type: eng
Score Metric: Macro-Recall
Paper/GitHub/Website URL:


RankSubmission Title Model
URL
Score
Details
1
Finetuned LMs Bernice
70.8997
2
Finetuned LMs InfoDCL
70.3883
3
Finetuned LMs XLM-RoBERTa-Large
70.3717
4
Zero-shot Chatgpt with translated prompts
69.9356
5
Zero-shot Chatgpt
69.9356
6
Finetuned LMs TwHIN-BERT
69.1174
7
Finetuned LMs XLM-Twitter
68.799
8
Finetuned LMs XLM-RoBERTa-Base
67.4972
9
Finetuned LMs mBERT
64.5188
10
Zero-shot BLOOMZ-P3-7B
57.5971
11
Zero-shot BLOOMZ-7B
52.7539
12
five-shot in-context learning Vicuna-7B
51.7641
13
five-shot in-context learning LLaMA-7B
50.2098
14
five-shot in-context learning BLOOMZ-P3-7B
49.46
15
three-shot in-context learning Vicuna-7B
48.2197
16
three-shot in-context learning LLaMA-7B
48.1226
17
Zero-shot Bactrian-LLaMA-7B
45.3699
18
Zero-shot Vicuna-7B
39.3141
19
Zero-shot mT0-XL
38.8889
20
Zero-shot Alpaca-7B
38.7186
21
five-shot in-context learning BLOOM-7B
38.4218
22
three-shot in-context learning BLOOM-7B
38.0418
23
three-shot in-context learning BLOOMZ-P3-7B
36.9117
24
Baseline Random
36.7726
25
three-shot in-context learning mT0-XL
36.5753
26
three-shot in-context learning mT5-XL
36.4497
27
five-shot in-context learning mT0-XL
34.4881
28
Zero-shot LLaMA-7B
33.9726
29
Zero-shot BLOOM-7B
33.6028
30
Baseline Majority
33.3333
31
Zero-shot mT5-XL
33.3333
32
Zero-shot Bactrian-BLOOM
32.2901
33
five-shot in-context learning mT5-XL
31.0665