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20242026
most citedTransXSSM: A Hybrid Transformer State Space Model with Unified Rotary Position Embedding

1 citations · 2 across the 18 of their papers we have counts for

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cs.CL2026

OmniMoE: An Efficient MoE by Orchestrating Atomic Experts at Scale

Jingze Shi, Zhangyang Peng, Yizhang Zhu +3

Mixture-of-Experts (MoE) architectures are evolving towards finer granularity to improve parameter efficiency. However, existing MoE designs face an inherent trade-off between the…

cs.CL2025

InteractComp: Evaluating Search Agents With Ambiguous Queries

Mingyi Deng, Lijun Huang, Yani Fan +23

Language agents have demonstrated remarkable potential in web search and information retrieval. However, many search-agent benchmarks assume that user queries are complete and unam…

cs.CL2025

VisJudge-Bench: Aesthetics and Quality Assessment of Visualizations

Yupeng Xie, Zhiyang Zhang, Yifan Wu +8

Visualization, a domain-specific yet widely used form of imagery, is an effective way to turn complex datasets into intuitive insights, and its value depends on whether data are fa…

cs.CL2025

ChartMark: A Structured Grammar for Chart Annotation

Yiyu Chen, Yifan Wu, Shuyu Shen +4

Chart annotations enhance visualization accessibility but suffer from fragmented, non-standardized representations that limit cross-platform reuse. We propose ChartMark, a structur…

cs.CL20251 cited

TransXSSM: A Hybrid Transformer State Space Model with Unified Rotary Position Embedding

Bingheng Wu, Jingze Shi, Yifan Wu +2

Transformers exhibit proficiency in capturing long-range dependencies, whereas State Space Models (SSMs) facilitate linear-time sequence modeling. Notwithstanding their synergistic…

cs.CL2025

ChartCards: A Chart-Metadata Generation Framework for Multi-Task Chart Understanding

Yifan Wu, Lutao Yan, Leixian Shen +3

The emergence of Multi-modal Large Language Models (MLLMs) presents new opportunities for chart understanding. However, due to the fine-grained nature of these tasks, applying MLLM…