揭示大模型在孟加拉语脏话上的安全漏洞：对齐仅绑定高资源形式，而非有害含义。
arXiv:2608.02941v1 Announce Type: new Abstract: We audit five frontier large language models on native Bangla derogatory speech (gali) across six prot…
135M参数的轻量LLM专为孟加拉语设计，以效率超越大规模模型，开辟小语言模型新方向。
arXiv:2606.16383v1 Announce Type: new Abstract: While the NLP landscape is dominated by multi-billion parameter architectures, their deployment in low…
首个孟加拉语大模型多任务幻觉评估框架，填补低资源语言评测空白
arXiv:2605.31483v1 Announce Type: new Abstract: Despite Bengali being the sixth most spoken language in the world, no prior work has systematically ev…
孟加拉语生成中敬语错误屡见不鲜，这份精心策划的数据集专门针对多语言模型进行修复，值得关注。
arXiv:2605.22487v1 Announce Type: new Abstract: Recent advances in Multilingual Large Language Models (MLLMs) have significantly enhanced cross-lingua…
评估大模型在孟加拉语医学视觉问答上的表现，首个专用数据集与基准测试，填补低资源语言医疗AI空白。
arXiv:2605.18111v1 Announce Type: new Abstract: Recent advancements in Large Language Models (LLMs) and Large Vision Language Models (LVLMs) have enab…