works on

From the 1 of 24 linked papers with an AI index.

collaborators

24 papers

cs.AI2026

TopoAgent: A Self-Evolving Topological Agent for Multimodal Scientific Reasoning

Mingze Xu, Yinghui Li, Jiayi Kuang +5

TopoAgent introduces a graph‑based, self‑evolving framework that breaks down multimodal scientific queries into visual atoms and organizes them in a DAG, allowing dynamic refinemen…

cs.AI2026

Scaling the Scaling Logic: Agentic Meta-Synthesis of Logic Reasoning

Bowen Liu, Zhi Wu, Runquan Xie +2

Reinforcement Learning from Verifiable Rewards (RLVR) is bottlenecked by data: existing synthesis pipelines rely on expert-written code or fixed templates, confining growth to inst…

cs.LG2026

TransMamba: A Sequence-Level Hybrid Transformer-Mamba Language Model

Yixing Li, Ruobing Xie, Zhen Yang +8

Transformers are the cornerstone of modern large language models, but their quadratic computational complexity limits efficiency in long-sequence processing. Recent advancements in…

cs.CR2025

The Security Threat of Compressed Projectors in Large Vision-Language Models

Yudong Zhang, Ruobing Xie, Xingwu Sun +4

The choice of a suitable visual language projector (VLP) is critical to the successful training of large visual language models (LVLMs). Mainstream VLPs can be broadly categorized…

cs.CV2025

Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs

Yudong Zhang, Ruobing Xie, Yiqing Huang +5

Recent advances in large vision-language models (LVLMs) have showcased their remarkable capabilities across a wide range of multimodal vision-language tasks. However, these models…

cs.CV2025

Hybrid-Tower: Fine-grained Pseudo-query Interaction and Generation for Text-to-Video Retrieval

Bangxiang Lan, Ruobing Xie, Ruixiang Zhao +4

The Text-to-Video Retrieval (T2VR) task aims to retrieve unlabeled videos by textual queries with the same semantic meanings. Recent CLIP-based approaches have explored two framewo…