Multilingual Question Answering on TydiQA
81.9AccuracyByT5
Evaluation Results
| Method | Links | |
|---|---|---|
| ByT5protocol=finetuned2022.10 | 81.9 | |
| GISTBackbone=Llama3.2-3B, Selection Ratio=5%2026.02 | 69.2 | |
| Flan-PaLM 540Bprompting=direct prompting2022.10 | 67.8 | |
| LESSBackbone=Llama3.2-3B, Selection Ratio=5%2026.02 | 67.1 | |
| FullBackbone=Llama3.2-3B, Selection Ratio=100%2026.02 | 66.6 | |
| Rand.Backbone=Llama3.2-3B, Selection Ratio=5%2026.02 | 64.1 | |
| LengthBackbone=Llama3.2-3B, Selection Ratio=5%2026.02 | 63.9 | |
| SELF-EVOLVING CLEANINGBase Model=LLaMA-3.1-8B, Selection Proportion=0.62025.02 | 63.58 | |
| Embed.Backbone=Llama3.2-3B, Selection Ratio=5%2026.02 | 62.8 | |
| RDS+Backbone=Llama3.2-3B, Selection Ratio=5%2026.02 | 62.6 | |
| FIXED-MODEL CLEANINGBase Model=LLaMA-3.1-8B, Selection Proportion=0.62025.02 | 62.38 | |
| RHOBase Model=LLaMA-3.1-8B, Selection Proportion=0.62025.02 | 61.9 | |
| LESSBackbone=Qwen2.5-1.5B, Selection Ratio=5%2026.02 | 61.4 | |
| GISTBackbone=Qwen2.5-1.5B, Selection Ratio=5%2026.02 | 61.2 | |
| BaseBackbone=Llama3.2-3B, Selection Ratio=0%2026.02 | 60.4 | |
| FullBackbone=Qwen2.5-1.5B, Selection Ratio=100%2026.02 | 59.9 | |
| FIXED-MODEL CLEANINGBase Model=Mistral-7B-v0.3, Selection Proportion=0.62025.02 | 59.03 | |
| PPL.Backbone=Qwen2.5-1.5B, Selection Ratio=5%2026.02 | 58.4 | |
| FULL TOKENS (50K)Base Model=LLaMA-3.1-8B, Token Budget=50K2025.02 | 58.1 | |
| BaseBackbone=Qwen2.5-1.5B, Selection Ratio=0%2026.02 | 57.8 | |
| PPL.Backbone=Llama3.2-3B, Selection Ratio=5%2026.02 | 57.1 | |
| Flan-PaLM 540Bprompting=CoT prompting2022.10 | 57 | |
| LengthBackbone=Qwen2.5-1.5B, Selection Ratio=5%2026.02 | 56.7 | |
| UNIFORM RANDOM (50K×0.6)Base Model=LLaMA-3.1-8B, Token Budget=50K, Selection Proportion=0.62025.02 | 56.6 | |
| SELF-EVOLVING CLEANINGBase Model=LLaMA-3.2-3B, Selection Proportion=0.62025.02 | 56.38 | |
| LESSBackbone=Llama2-7B, Selection Ratio=5%2026.02 | 56.2 | |
| RDS+Backbone=Qwen2.5-1.5B, Selection Ratio=5%2026.02 | 56.2 | |
| SELF-EVOLVING CLEANINGBase Model=Mistral-7B-v0.3, Selection Proportion=0.62025.02 | 56.17 | |
| GISTBackbone=Llama2-7B, Selection Ratio=5%2026.02 | 55.8 | |
| DS² (10K)Base Model=Mistral-7B-v0.3, Token Budget=10K2025.02 | 55.7 | |
| UNIFORM RANDOM (50K×0.6)Base Model=Mistral-7B-v0.3, Token Budget=50K, Selection Proportion=0.62025.02 | 55.7 | |
| Rand.Backbone=Qwen2.5-1.5B, Selection Ratio=5%2026.02 | 55.6 | |
| FULL TOKENS (50K)Base Model=Mistral-7B-v0.3, Token Budget=50K2025.02 | 55.6 | |
| BASEBase Model=Mistral-7B-v0.32025.02 | 54.7 | |
| U-PaLMSize=540B, Few-shot=true, Chain-of-thought prompting=true2022.10 | 54.6 | |
| RHOBase Model=Mistral-7B-v0.3, Selection Proportion=0.62025.02 | 54.5 | |
| Embed.Backbone=Qwen2.5-1.5B, Selection Ratio=5%2026.02 | 54.1 | |
| FullBackbone=Llama2-7B, Selection Ratio=100%2026.02 | 54 | |
| RHOBase Model=LLaMA-3.2-3B, Selection Proportion=0.62025.02 | 53.6 | |
| PaLMSize=540B, Few-shot=true, Chain-of-thought prompting=true2022.10 | 52.9 | |
| PaLM 540Bprompting=direct prompting2022.10 | 52.9 | |
| Rand.Backbone=Llama2-7B, Selection Ratio=5%2026.02 | 52.7 | |
| FIXED-MODEL CLEANINGBase Model=LLaMA-3.2-3B, Selection Proportion=0.62025.02 | 52.6 | |
| LengthBackbone=Llama2-7B, Selection Ratio=5%2026.02 | 51.1 | |
| RDS+Backbone=Llama2-7B, Selection Ratio=5%2026.02 | 51 | |
| Embed.Backbone=Llama2-7B, Selection Ratio=5%2026.02 | 49.8 | |
| FULL TOKENS (50K)Base Model=LLaMA-3.2-3B, Token Budget=50K2025.02 | 49.6 | |
| IProXCandidate Training Data=CoT, rho=0.32026.02 | 48.72 | |
| Llama3.2-3BCandidate Training Data=CoT2026.02 | 47.9 | |
| UNIFORM RANDOM (50K×0.6)Base Model=LLaMA-3.2-3B, Token Budget=50K, Selection Proportion=0.62025.02 | 47 | |
| IProXCandidate Training Data=CoT, rho=0.52026.02 | 46.73 | |
| BaseBackbone=Llama2-7B, Selection Ratio=0%2026.02 | 46.4 | |
| PaLM 540Bprompting=CoT prompting2022.10 | 45.9 | |
| DS² (10K)Base Model=LLaMA-3.1-8B, Token Budget=10K2025.02 | 45.8 | |
| IProXCandidate Training Data=CoT, rho=0.72026.02 | 43.18 | |
| Llama3.2-1BCandidate Training Data=CoT2026.02 | 42.67 | |
| DS² (10K)Base Model=LLaMA-3.2-3B, Token Budget=10K2025.02 | 41.2 | |
| IProXCandidate Training Data=BioInstruct, rho=0.32026.02 | 39.17 | |
| Llama3.2-3BCandidate Training Data=BioInstruct2026.02 | 38.96 | |
| IProXCandidate Training Data=BioInstruct, rho=0.52026.02 | 38.36 | |
| IProXCandidate Training Data=BioInstruct, rho=0.72026.02 | 36.48 | |
| Llama3.2-1BCandidate Training Data=BioInstruct2026.02 | 33.94 | |
| PPL.Backbone=Llama2-7B, Selection Ratio=5%2026.02 | 32.9 | |
| BASEBase Model=LLaMA-3.1-8B2025.02 | 22.8 | |
| BASEBase Model=LLaMA-3.2-3B2025.02 | 21.1 |