1 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2026★ 1 cited
MiMo-V2-Flash Technical Report
Core Team, Bangjun Xiao, Bingquan Xia +123
We present MiMo-V2-Flash, a Mixture-of-Experts (MoE) model with 309B total parameters and 15B active parameters, designed for fast, strong reasoning and agentic capabilities. MiMo-…
cs.CL2025★ 1 cited
MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining
LLM-Core Xiaomi, :, Bingquan Xia +62
We present MiMo-7B, a large language model born for reasoning tasks, with optimization across both pre-training and post-training stages. During pre-training, we enhance the data p…
cs.CL2024★ 1 cited
Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective
Zihao Yue, Liang Zhang, Qin Jin
Large Multimodal Models (LMMs) often suffer from multimodal hallucinations, wherein they may create content that is not present in the visual inputs. In this paper, we explore a ne…