works on

From the 1 of 15 linked papers with an AI index.

activity
20242026
collaborators

15 papers

cs.RO2026

Reverse to Advance: Teleoperation-Cost Effective Hard Policy Learning from Reversed Easy Tasks

Qiyuan Qiao, Ge Yuan, Can Wang +1

The paper proposes a framework that leverages easy-to-perform reversed trajectories as supervision for learning hard manipulation policies, using automated data collection, hierarc…

cs.CV2026

Render-in-the-Loop: Vector Graphics Generation via Visual Self-Feedback

Guotao Liang, Zhangcheng Wang, Juncheng Hu +5

Multimodal Large Language Models (MLLMs) have shown promising capabilities in generating Scalable Vector Graphics (SVG) via direct code synthesis. However, existing paradigms typic…

cs.CV2026

ELBO-T2IAlign: A Generic ELBO-Based Method for Calibrating Pixel-level Text-Image Alignment in Diffusion Models

Qin Zhou, Zhiyang Zhang, Jinglong Wang +5

Diffusion models excel at image generation. Recent studies have shown that these models not only generate high-quality images but also encode text-image alignment information throu…

cs.LG2026

Stable GFlowNets with TV Monitoring and Probabilistic Guarantees

Zengxiang Lei, Ananth Shreekumar, Jonathan Rosenthal +6

Generative Flow Networks (GFlowNets) sample diverse structured objects in proportion to reward and have been applied to molecular discovery and biological-sequence design, where fi…

cs.CV2026

VAnim: Rendering-Aware Sparse State Modeling for Structure-Preserving Vector Animation

Guotao Liang, Zhangcheng Wang, Chuang Wang +6

Scalable Vector Graphics (SVG) animation generation is pivotal for professional design due to their structural editability and resolution independence. However, this task remains c…

cs.SE2026

LiveFMBench: Unveiling the Power and Limits of Agentic Workflows in Specification Generation

Dong Xu, Jialun Cao, Guozhao Mo +9

Formal specification is essential for rigorous program verification, yet writing correct specifications remains costly and difficult to automate. Although large language models (LL…