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20242026
most citedMiMo-V2-Flash Technical Report

1 citations · 4 across the 18 of their papers we have counts for

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7 papers · 1 filter

cs.CL2026

HySparse2: Hybrid Sparse Attention with Two-Level KV Sharing

Jianyu Wei, Yizhao Gao, Qihao Zhang +12

Long-horizon and multi-turn agents typically generate short actions and process long observations from tools and environments. This growing context demands efficient prefill, compa…

cs.IR2026

HAM-RAG: Hierarchy-Aware Multimodal RAG for Structure-Faithful Interleaved Generation

Yin Li, Ziyang Hu, Zhiyu Guo +7

Existing multimodal RAG methods often flatten structured documents into isolated text and image units, weakening the source organization and local text-image logic needed for faith…

cs.AI2026

402Pilot: An x402 Decision Layer for Autonomous Agent Micropayments

Yin Li, Yanbo He, Boo-Ho Yang +5

Programmable-payment protocols such as x402 enable per-request micropayments, but they do not determine which payable service an autonomous agent should buy under a finite wallet.…

cs.CL2026

HySparse: A Hybrid Sparse Attention Architecture with Oracle Token Selection and KV Cache Sharing

Yizhao Gao, Jianyu Wei, Qihao Zhang +11

This work introduces Hybrid Sparse Attention (HySparse), a new architecture that interleaves each full attention layer with several sparse attention layers. While conceptually simp…

cs.CV2026

Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling

Gongye Liu, Bo Yang, Yida Zhi +8

Preference optimization for diffusion and flow-matching models relies on reward functions that are both discriminatively robust and computationally efficient. Vision-Language Model…

cs.AI2026

Emerging from Ground: Addressing Intent Deviation in Tool-Using Agents via Deriving Real Calls into Virtual Trajectories

Qian Xiong, Yuekai Huang, Bo Yang +7

LLMs have advanced tool-using agents for real-world applications, yet they often lead to unexpected behaviors or results. Beyond obvious failures, the subtle issue of "intent devia…

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-…