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20242026
most citedLLMI3D: MLLM-based 3D Perception from a Single 2D Image

2 citations · 2 across the 22 of their papers we have counts for

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15 papers · 1 filter

cs.CV2026

EVA-Cap: Optimizing Audiovisual Video Captioning via Event-Centric Alignment

Jiapeng Shi, Qiuxia Hou, Jiaqi Leng +5

Recent advances in Omni Language Models (OLMs) provide a unified solution for audiovisual video captioning. Nevertheless, existing approaches predominantly treat captioning as an u…

cs.AI2026

Learn from the Gap: Differential-Aware Advantage Pruning with Adaptive Rollout Sampling for GRPO

Jiahua Yang, Zhiwei Yang, Xianpeng Zhang +7

Recently, Group Relative Policy Optimization (GRPO) and its variants have been developed for policy optimization and demonstrated notable performance gains. However, these methods…

cs.CV2026

TimeThink: Reasoning with Time for Video LLMs

Handong Li, Longteng Guo, Zikang Liu +8

Video reasoning requires models to identify and verify temporally localized evidence within long video sequences. Recent Video Large Language Models (Video-LLMs) have shown promisi…

cs.CV2026

Clearer Sight, Fewer Lies: Oriented Pickup Preference Optimization for Multimodal Hallucination Mitigation

Xin Zou, Haolin Deng, Yibo Yan +5

Multimodal Large Language Models (MLLMs) are prone to hallucination as their generation preferences are insufficiently calibrated to visual evidence, causing them to fall back on l…

cs.CV2026

Consistency as Inductive Bias: Learning Cross-View Invariance for Robust Multimodal Reasoning

Xin Zou, Haolin Deng, Yibo Yan +6

Inductive biases steer learning toward generalizable solutions by encoding task structure. In this work, we identify a crucial missing bias in MLLMs: cross-view consistency, \texti…

cs.CV2026

ProMSA:Progressive Multimodal Search Agents for Knowledge-Based Visual Question Answering

ZhengXian Wu, Hangrui Xu, Kai Shi +8

Knowledge-based Visual Question Answering (KB-VQA) requires models to combine image understanding with external knowledge. Most prior methods use a fixed retrieve-then-generate pip…

cs.CV2026

Learning from Fine-Grained Visual Discrepancies: Mitigating Multimodal Hallucinations via In-Context Visual Contrastive Optimization

Haolin Deng, Xin Zou, Zhiwei Jin +3

Multimodal hallucination remains a persistent challenge for Vision-Language Models (VLMs). Standard textual Direct Preference Optimization (DPO) often fails to mitigate it due to a…

cs.CV2026

MergeTok: Unified Continuous and Discrete Visual Tokenization via Token Merging

Luyuan Zhang, Siyuan Li, Zedong Wang +7

Most visual tokenizers for image generation are bifurcated into two families with complementary limitations: continuous VAEs offer high-fidelity reconstruction but suffer from dens…

cs.CV2026

X-OmniClaw Technical Report: A Unified Mobile Agent for Multimodal Understanding and Interaction

Xiaoming Ren, Ru Zhen, Chao Li +11

Inspired by the development of OpenClaw, there is a growing demand for mobile-based personal agents capable of handling complex and intuitive interactions. In this technical report…

cs.AI2026

The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Aili Chen, Aonian Li, Baichuan Zhou +215

We introduce the MiniMax-M2 series, a family of Mixture-of-Experts language models built around the principle that mini activations can unleash maximum real-world intelligence. The…

cs.CV2026

OASIS: On-Demand Hierarchical Event Memory for Streaming Video Reasoning

Zhijia Liang, Jiaming Li, Weikai Chen +3

Streaming video reasoning requires models to operate in a setting where history grows without bound while meaningful evidence remains scarce. In such a landscape, relevant signal i…

math.CO2026

Kirchhoff index of a nested geometric graph with weighted multiple edges

Da-yeon Huh

Kirchhoff index, Kf(G), introduced by Klein and Randic in 1993, represents the total effective resistances between all pairs of vertices in a graph G, where each edge is regarded a…

cs.CV2026

When Models Judge Themselves: Unsupervised Self-Evolution for Multimodal Reasoning

Zhengxian Wu, Kai Shi, Chuanrui Zhang +10

Recent progress in multimodal large language models has led to strong performance on reasoning tasks, but these improvements largely rely on high-quality annotated data or teacher-…

cs.CV2026

Click-to-Ask: An AI Live Streaming Assistant with Offline Copywriting and Online Interactive QA

Ruizhi Yu, Keyang Zhong, Peng Liu +5

Live streaming commerce has become a prominent form of broadcasting in the modern era. To facilitate more efficient and convenient product promotions for streamers, we present Clic…

cs.CV2026

Thinking in Streaming Video

Zikang Liu, Longteng Guo, Handong Li +7

Real-time understanding of continuous video streams is essential for interactive assistants and multimodal agents operating in dynamic environments. However, most existing video re…