output
20022026
most citedEfficient Estimation of Word Representations in Vector Space

25.8k citations

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98 papers · 1 filter

cs.CV2025

FinMMDocR: Benchmarking Financial Multimodal Reasoning with Scenario Awareness, Document Understanding, and Multi-Step Computation

Zichen Tang, Haihong E, Rongjin Li +18

We introduce FinMMDocR, a novel bilingual multimodal benchmark for evaluating multimodal large language models (MLLMs) on real-world financial numerical reasoning. Compared to exis…

cs.IR2025

Optimizing Generative Ranking Relevance via Reinforcement Learning in Xiaohongshu Search

Ziyang Zeng, Heming Jing, Jindong Chen +11

Ranking relevance is a fundamental task in search engines, aiming to identify the items most relevant to a given user query. Traditional relevance models typically produce scalar s…

eess.SP2025

Reconfigurable Intelligent Surface-Enhanced Satellite Networks: Deployment Strategies, Key Capabilities, Practical Solutions, and Future Directions

Ziyuan Zheng, Xiangyu Li, Shirui Zuo +4

Satellite networks promise wide-area 6G coverage but face two persistent barriers: blockage-induced service discontinuities and increasingly stringent spectrum coexistence across s…

cs.CV2025★ 1 cited

Towards Deeper Emotional Reflection: Crafting Affective Image Filters with Generative Priors

Peixuan Zhang, Shuchen Weng, Jiajun Tang +2

Social media platforms enable users to express emotions by posting text with accompanying images. In this paper, we propose the Affective Image Filter (AIF) task, which aims to ref…

quant-ph2025★ 4 cited

Analyzing the performance of CV-MDI QKD under continuous-mode scenarios

Yanhao Sun, Ziyang Chen, Xiangyu Wang +2

Continuous-variable measurement-device-independent quantum key distribution (CV-MDI QKD) can address vulnerabilities on the detection side of a QKD system. The core of this protoco…

cs.LG2025

CoPHo: Classifier-guided Conditional Topology Generation with Persistent Homology

Gongli Xi, Ye Tian, Mengyu Yang +5

The structure of topology underpins much of the research on performance and robustness, yet available topology data are typically scarce, necessitating the generation of synthetic…