Sentiment Sextuple Extraction on PanoSent 1.0 (test)
47.38Avg F1 (Sextuple Micro & Identification)MSGR+SFT-Qwen3-8B+HLOS
Evaluation results
| Method | Links | |
|---|---|---|
| MSGR+SFT-Qwen3-8B+HLOSModules=MSGR + HLOS, Backbone=SFT-Qwen3-8B2025.12 | 47.38 | |
| SFT-Qwen3-8B+HLOSModule=Hybrid LLM Optimization Strategy (HLOS), Backbone=SFT-Qwen3-8B2025.12 | 47.3 | |
| MSGR+SFT-Qwen3-8BModule=Multi-Sampling Generation and Refinement (MSGR), Backbone=SFT-Qwen3-8B2025.12 | 44.97 | |
| SFT-Qwen3-8BTraining=Supervised Fine-Tuning, Backbone=Qwen3-8B2025.12 | 44.52 |