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I built an LLM debugger for fine-tuning failures
为LoRA微调失败找出元凶，用训练数据归因精准定位回归样本。
Article URL: https://github.com/gradian-ai/gradian Comments URL: https://news.ycombinator.com/item?id=49168696 Points: 3 # Comments: 3
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Investigating first-language bias in LLM-based automated essay scoring: A cross-prompt evaluation of an open-weight AI-model on TOEFL essays
研究揭示LLM自动评分中存在的第一语言偏见，基于LoRA微调的开源模型在托福作文跨提示评估中的表现实验。
arXiv:2607.14605v1 Announce Type: new Abstract: This study examines the cross-prompt generalization and first-language (L1) scoring effects of a LoRA-…
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Techniques for Peak Memory Reduction for LoRA Fine-tuning of LLMs on Edge Devices
边缘设备微调LLM的突破：LoRA峰值内存优化技术详解
arXiv:2606.19528v1 Announce Type: cross Abstract: Fine-tuning of Large Language Models (LLMs) using Low-Rank Adaptation (LoRA) on an end-user's data o…
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System Report for CCL25-Eval Task 5: New Dataset and LoRA-Fine-Tuned Qwen2.5
新数据集与LoRA微调Qwen2.5突破古典诗歌翻译和情感语义理解瓶颈，技术细节值得深挖。
arXiv:2606.12392v1 Announce Type: cross Abstract: Recently, large language models (LLMs) have achieved promising progress in the fields of classical C…