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20242026
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cs.CV2026

MG-Thinker: Bi-Axial Self-Reflection for Multi-Image Reasoning Grounding

Heyu Huang, Chi Chen, Zonghao Guo +3

Reinforcement learning (RL) has recently delivered substantial gains in multimodal reasoning, opening a promising route for fine-grained visual perception. Yet for multi-image reas…

cs.AI2026

RSMeM: Knowledge-Enhanced Memory Evolution for Remote Sensing Agents with Systematic Evaluation

Bingxian Wu, Yu Zhang, Zonghao Guo +9

Geoscience research requires complex analysis and domain expertise, with remote sensing (RS) observations as a key foundation. However, existing RS agents built on general-purpose…

cs.IR2026

HiEviDR-Bench: A Benchmark for Hierarchical Evidence Aggregation in Deep Research

Yubo Sun, Chunyi Peng, Yukun Yan +6

Deep research requires models to retrieve, connect, and synthesize evidence from large-scale heterogeneous sources to answer complex queries and produce analytical reports. Existin…

cs.CV2026

Cheers: Decoupling Patch Details from Semantic Representations Enables Unified Multimodal Comprehension and Generation

Yichen Zhang, Da Peng, Zonghao Guo +19

A recent cutting-edge topic in multimodal modeling is to unify visual comprehension and generation within a single model. However, the two tasks demand mismatched decoding regimes…

cs.CL2026

Imagination Helps Visual Reasoning, But Not Yet in Latent Space

You Li, Chi Chen, Yanghao Li +4

Latent visual reasoning aims to mimic human's imagination process by meditating through hidden states of Multimodal Large Language Models. While recognized as a promising paradigm…