Knowledge-based reasoning on EMG
73.33AccuracyTimesNet
Evaluation Results
| Method | Links | |
|---|---|---|
| TimesNetModel Category=Classical Models2026.02 | 73.33 | |
| VeriTimeModel Category=Base: Qwen3-4B-Instruct, Method Variant=VeriTime (SFT+RL)2026.02 | 65.31 | |
| VeriTimeModel Category=Base: Qwen2.5-3B-Instruct, Method Variant=VeriTime (SFT+RL)2026.02 | 64.96 | |
| PatchTSTModel Category=Classical Models2026.02 | 64.71 | |
| FEDformerModel Category=Classical Models2026.02 | 63.73 | |
| iTransformerModel Category=Classical Models2026.02 | 60.78 | |
| Qwen3-4B-Instruct (Base)Model Category=Base: Qwen3-4B-Instruct, Method Variant=Base2026.02 | 56.46 | |
| Qwen2.5-3B-Instruct (Base)Model Category=Base: Qwen2.5-3B-Instruct, Method Variant=Base2026.02 | 51.09 | |
| AutoformerModel Category=Classical Models2026.02 | 50.98 | |
| DLinearModel Category=Classical Models2026.02 | 47.06 | |
| Qwen2.5-7B-InstructModel Category=General LLMs2026.02 | 43.8 | |
| Time-R1Model Category=Time Series Language Models, Backbone=Qwen2.5-7B2026.02 | 42.86 | |
| GPT-4o-miniModel Category=General LLMs2026.02 | 40.88 | |
| Time-MQAModel Category=Time Series Language Models, Backbone=Llama3-8B2026.02 | 38.24 | |
| DeepSeek-R1-Distill-Qwen-7BModel Category=General LLMs2026.02 | 33.58 | |
| Meta-Llama3-8B-InstructModel Category=General LLMs2026.02 | 33.58 | |
| Time-MQAModel Category=Time Series Language Models, Backbone=Mistral-7B2026.02 | 28.43 | |
| Mistral-7B-v0.3Model Category=General LLMs2026.02 | 26.28 | |
| Time-MQAModel Category=Time Series Language Models, Backbone=Qwen2.5-7B2026.02 | 18.94 |