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A companion evaluation found that naming the target part in a manipulation prompt increased action accuracy by 0.32-0.63 across eight vision-language models, with no model outpe…
原文内容 · 暂无该语言译文arXiv cs.RO ·
Can changing only the language instruction redirect a VLA policy's end effector, or does the visually driven motion prior dominate? We present Atomic Motion Coordinate, a geomet…
原文内容 · 暂无该语言译文arXiv cs.CL ·
We introduce Crypto Accounting Bench (CAB), a benchmark for assessing whether frontier and open-weight language models can reconstruct the complete journal entry that an organiz…
原文内容 · 暂无该语言译文arXiv cs.CL ·
Evaluating the factual correctness of large language models (LLMs) is vital for many applications. But are our evaluation tools themselves trustworthy? Despite the rise of factu…
原文内容 · 暂无该语言译文NVIDIA Technical Blog ·
Mixture of experts (MoE) has become one of the defining architectural trends in large-scale AI model training. DeepSeek, Qwen, and Mixtral are examples of MoE... Mixture of expe…
原文内容 · 暂无该语言译文OpenAI ·
Fyxer uses OpenAI models, fine-tuning, memory, and real user feedback to organize inboxes and draft emails in each user’s voice.
原文内容 · 暂无该语言译文