collaborators

17 papers

quant-ph2026

Sublinear Time Quantum Algorithm for Attention Approximation

Zhao Song, Jianfei Xue, Jiahao Zhang +1

Given the query, key and value matrices , the attention module is defined as where wi…

cs.CV2026

Text-to-Image Diffusion Models Cannot Count, and Prompt Refinement Cannot Help

Xuyang Guo, Jiayan Huo, Yingyu Liang +4

Generative modeling is widely regarded as one of the most essential problems in today's AI community, with text-to-image generation having gained unprecedented real-world impacts.…

cs.GT2025

Which Coauthor Should I Nominate in My 99 ICLR Submissions? A Mathematical Analysis of the ICLR 2026 Reciprocal Reviewer Nomination Policy

Zhao Song, Song Yue, Jiahao Zhang

The rapid growth of AI conference submissions has created an overwhelming reviewing burden. To alleviate this, recent venues such as ICLR 2026 introduced a reviewer nomination poli…

cs.AI2025

Evaluating Frontier LLMs on PhD-Level Mathematical Reasoning: A Benchmark on a Textbook in Theoretical Computer Science about Randomized Algorithms

Yang Cao, Yubin Chen, Xuyang Guo +4

The rapid advancement of large language models (LLMs) has led to significant breakthroughs in automated mathematical reasoning and scientific discovery. Georgiev, Gmez-Serran…

cs.LG2025

Fundamental Limits of Crystalline Equivariant Graph Neural Networks: A Circuit Complexity Perspective

Yang Cao, Zhao Song, Jiahao Zhang +1

Graph neural networks (GNNs) have become a core paradigm for learning on relational data. In materials science, equivariant GNNs (EGNNs) have emerged as a compelling backbone for c…

cs.CV2025

Your Vision-Language Model Can't Even Count to 20: Exposing the Failures of VLMs in Compositional Counting

Xuyang Guo, Zekai Huang, Zhenmei Shi +2

Vision-Language Models (VLMs) have become a central focus of today's AI community, owing to their impressive abilities gained from training on large-scale vision-language data from…