为生物学打造的预训练语料库，开启LLM与生命科学深度融合新篇章。
arXiv:2607.08803v1 Announce Type: cross Abstract: The push toward large language models for biology (BioLM) has created a need for training corpora th…
首个阿拉伯语-俄语平行语料库与LLM基准，打破科研语言壁垒，助力可持续发展知识交流。
arXiv:2606.30943v1 Announce Type: new Abstract: Russian and Arabic are among the major languages of scientific communication. Language barriers impede…
语料库驱动AI方法生成的选择题选项可能存在频率偏差，警惕其教育应用中的隐藏陷阱。
arXiv:2602.17377v2 Announce Type: replace Abstract: In recent years, corpus-driven AI methods, such as Large Language Models (LLMs), have seen widespr…
粤语-英语语音翻译新基准，600+小时平行语料库开放，句子级对齐助力研究。
arXiv:2306.11252v2 Announce Type: replace-cross Abstract: We introduce HK-LegiCoST, a new three-way parallel corpus of Cantonese-English translations,…
聚焦日本LLM预训练数据中的敏感个人信息检测，为模型训练隐私安全提供新思路
arXiv:2606.12114v1 Announce Type: new Abstract: Sensitive personal information can appear in large-scale pre-training corpora for large language model…
首个科米-亚兹瓦语-俄语平行语料库，为LLM在极低资源语言上的零样本/少样本翻译提供系统评估标准。
arXiv:2606.06420v1 Announce Type: new Abstract: We present the first Komi-Yazva--Russian parallel corpus together with an explicit evaluation protocol…
将Karpathy的LLM教学语料库精心设计为交互式HTML维基，视觉友好、内容系统，适合深度学习大模型知识。
Article URL: https://benzales.github.io/notes/ Comments URL: https://news.ycombinator.com/item?id=48374827 Points: 2 # Comments: 0
提出GrepSeek方法训练LLM搜索代理直接与语料库交互，摆脱传统检索器限制，提升知识密集型任务效率。
arXiv:2605.29307v1 Announce Type: cross Abstract: Large Language Model (LLM) search agents have shown strong promise for knowledge-intensive language …
LLM训练语料库差异会影响科学问答表现吗？一个值得探讨的实验思路
That is, were I to omit all, say, novels and non-fiction from my LLM's training would then scientific questions be better-addressed by that LLM vs ano…
Telenor北欧客户服务自助语料库发布，多语言数据集助力客服AI研究
arXiv:2605.26891v1 Announce Type: new Abstract: This paper presents a multilingual customer service self-help corpus comprising 1,122 manually validat…
介绍EmbGen方法，利用重组语料库革新机器学习教学，探索自适应系统新范式。
arXiv:2605.19394v1 Announce Type: new Abstract: Adapting small instruction-tuned models to specialized domains often relies on supervised fine-tuning …
从维基百科原始数据构建高质量南斯拉夫语语料库，详解七种语言的文本提取与清洗流程。
arXiv:2604.25384v2 Announce Type: replace Abstract: This paper presents a pipeline designed to transform raw Wikimedia dumps into quality textual corp…
从xkcd经典谜题出发，揭示LLM训练语料中日期出现的神秘规律，数据控必看。
Article URL: https://venkatasg.net/blog/dates-2026-05-12.html Comments URL: https://news.ycombinator.com/item?id=48148071 Points: 1 # Comments: 0