Table-to-Text Generation on FeTaQA (Accuracy)
76.9AccuracyEvol-Instruct
Evaluation results
| Method | Links | |
|---|---|---|
| Evol-InstructIFT Data=100K2025.06 | 76.9 | |
| TableDreamerIFT Data=27K, Backbone=GPT-4o2025.06 | 75.97 | |
| TableDreamerIFT Data=27K, Backbone=Llama3.1-70B-Instruct2025.06 | 75.12 | |
| TableGPT2IFT Data=2.36M, Backbone=Qwen2.5-7B2025.06 | 64.1 | |
| GenQAIFT Data=100K2025.06 | 62.77 | |
| InternLM2.5-7B-Chat2025.06 | 59.18 | |
| Phi3.5-mini-3.8B2025.06 | 57.14 | |
| DynasourIFT Data=132K2025.06 | 56.49 | |
| TableLLM-syn-dataIFT Data=80K2025.06 | 55.94 | |
| Mistral-7B-Instruct-v0.32025.06 | 55.57 | |
| Yi-1.5-9B-Chat2025.06 | 55.19 | |
| Llama3.1-8B-Instruct2025.06 | 55.19 | |
| Self-InstructIFT Data=100K2025.06 | 53.48 | |
| MagpieIFT Data=100K2025.06 | 53.48 | |
| MiniCPM3-4B2025.06 | 42.53 | |
| DeepSeek-V2-Lite-16B-Chat2025.06 | 42.39 | |
| TableBenchLLMIFT Data=20K, Backbone=Llama3.1-8B2025.06 | 42.3 | |
| TableLLMIFT Data=80K, Backbone=CodeLlama-7B2025.06 | 37.66 | |
| TableGPT-syn-dataIFT Data=66K2025.06 | 36.64 | |
| GLM4-9B-Chat2025.06 | 36.19 | |
| Baichuan2-7B-Chat2025.06 | 8.05 | |
| UCTRIFT Data=43K2025.06 | 7.51 | |
| ReasTapIFT Data=100K2025.06 | 4.92 | |
| OmniTabIFT Data=100K2025.06 | 4.82 |