activity
20202026
most citedModeling Discourse Structure for Document-level Neural Machine Translation

3 citations · 6 across the 10 of their papers we have counts for

collaborators

15 papers

cs.CL2026

S^2tory: Story Spine Distillation for Movie Script Summarization

Mingzhe Lu, Yanbing Liu, Qihao Wang +5

Movie scripts pose a fundamental challenge for automatic summarization due to their non-linear, cross-cut narrative structure, which makes surface-level saliency methods ineffectiv…

cs.CL2026

Learning to Seek Help: Dynamic Collaboration Between Small and Large Language Models

Hang Zeng, Xiangyu Liu, Yong Hu +5

Large language models (LLMs) offer strong capabilities but raise cost and privacy concerns, whereas small language models (SLMs) facilitate efficient and private local inference ye…

cs.CL2026

From Myopic Selection to Long-Horizon Awareness: Sequential LLM Routing for Multi-Turn Dialogue

Jiarui Zhang, Xiangyu Liu, Yong Hu +5

Multi-turn dialogue is the predominant form of interaction with large language models (LLMs). While LLM routing is effective in single-turn settings, existing methods fail to maxim…

cs.GR2026

Automatic Method Illustration Generation for AI Scientific Papers via Drawing Middleware Creation, Evolution, and Orchestration

Zhuoling Li, Jiarui Zhang, Ping Hu +4

Method illustrations (MIs) play a crucial role in conveying the core ideas of scientific papers, yet their generation remains a labor-intensive process. Here, we take inspiration f…

cs.CV2026

MDPBench: A Benchmark for Multilingual Document Parsing in Real-World Scenarios

Zhang Li, Zhibo Lin, Qiang Liu +7

We introduce Multilingual Document Parsing Benchmark, the first benchmark for multilingual digital and photographed document parsing. Document parsing has made remarkable strides,…

cs.AI2026

DiffGraph: An Automated Agent-driven Model Merging Framework for In-the-Wild Text-to-Image Generation

Zhuoling Li, Hossein Rahmani, Jiarui Zhang +5

The rapid growth of the text-to-image (T2I) community has fostered a thriving online ecosystem of expert models, which are variants of pretrained diffusion models specialized for d…