Aspect Sentiment Classification on Laptop
73.68F1 ScoreK-Means
Evaluation results
| Method | Links | |
|---|---|---|
| K-MeansBackbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=K-Means2024.06 | 73.68 | |
| K-Means + Feedback-ICLBackbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=K-Means2024.06 | 73.11 | |
| RandomBackbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=Random2024.06 | 73.02 | |
| Random + Feedback-ICLBackbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=Random2024.06 | 72.8 | |
| BM25 + Feedback-ICLBackbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=BM252024.06 | 71.67 | |
| BM25Backbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=BM252024.06 | 70.29 | |
| SBERT + Feedback-ICLBackbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=SBERT2024.06 | 69.56 | |
| MMR + Feedback-ICLBackbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=MMR2024.06 | 69.23 | |
| BERT-FTBackbone=BERT-base, Evaluation Protocol=Fine-tuning2024.06 | 69.03 | |
| MMRBackbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=MMR2024.06 | 66.72 | |
| SBERTBackbone=Llama-2 13B Chat, Evaluation Protocol=In-context learning, Number of in-context examples=4, Retrieval Strategy=SBERT2024.06 | 65.72 |