1 citations · 1 across the 4 of their papers we have counts for
6 papers
MIRAGE: Benchmarking and Aligning Multi-Instance Image Editing
Ziqian Liu, Stephan Alaniz
Instruction-guided image editing has seen remarkable progress with models like FLUX.2 and Qwen-Image-Edit, yet they still struggle with complex scenarios with multiple similar inst…
GLM-5: from Vibe Coding to Agentic Engineering
GLM-5-Team, :, Aohan Zeng +184
We present GLM-5, a next-generation foundation model designed to transition the paradigm of vibe coding to agentic engineering. Building upon the agentic, reasoning, and coding (AR…
Learning Common and Salient Generative Factors Between Two Image Datasets
Yunlong He, Gwilherm Lesné, Ziqian Liu +2
Recent advancements in image synthesis have enabled high-quality image generation and manipulation. Most works focus on: 1) conditional manipulation, where an image is modified con…
TASE: Token Awareness and Structured Evaluation for Multilingual Language Models
Chenzhuo Zhao, Xinda Wang, Yue Huang +2
While large language models (LLMs) have demonstrated remarkable performance on high-level semantic tasks, they often struggle with fine-grained, token-level understanding and struc…
PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models
Chenzhuo Zhao, Ziqian Liu, Xinda Wang +2
Prompt optimization is a practical and widely applicable alternative to fine tuning for improving large language model performance. Yet many existing methods evaluate candidate pro…
PackMamba: Efficient Processing of Variable-Length Sequences in Mamba training
Haoran Xu, Ziqian Liu, Rong Fu +5
With the evolution of large language models, traditional Transformer models become computationally demanding for lengthy sequences due to the quadratic growth in computation with r…