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cs.CL2026
Verifiable Self-Evolution for Open-Ended Dialogue Skills via Future-Feedback Prediction
ChaoJin Zhao, Xuan Jiang
Textual skills provide a lightweight way to improve frozen language-model agents, but their self-evolution normally requires a stable validation signal. Such signals are natural in…
cs.CL2024★ 2 cited
Sparse Matrix in Large Language Model Fine-tuning
Haoze He, Juncheng Billy Li, Xuan Jiang +1
LoRA and its variants have become popular parameter-efficient fine-tuning (PEFT) methods due to their ability to avoid excessive computational costs. However, an accuracy gap often…