activity
19962026
most citedJunction Tree Variational Autoencoder for Molecular Graph Generation

828 citations · 5.6k across the 171 of their papers we have counts for

collaborators

180 papers

cs.AI2026

WorldAuditBench: Interactive 3D World Auditing with Multimodal Agents

Ziyan Jiang, Jingbo Yang, Jiabao Ji +5

As interactive 3D worlds are increasingly used to study intelligent behavior, it becomes important to develop efficient pipelines for identifying anomalies in these simulated envir…

cs.AI2026

From Surfaces to Volumes: Registered Geometry for Protein Representation Learning

Siyuan Chen, Cai Zhou, Jinrui Zhang +8

Existing protein geometry models typically represent molecular surfaces using local geometric features such as sampled points, normals, and curvature. While effective for capturing…

cs.CV2026

Divide-and-Denoise: A Game-Theoretic Method for Fairly Composing Diffusion Models

Abhi Gupta, Polina Barabanshchikova, Vikas Garg +2

The abundance of pre-trained diffusion models provides an opportunity for composition. Combining several models, however, runs the risk of one model dominating or models disagreein…

cs.LG2026

Diffusion Domain Expansion: Learning to Coordinate Pre-trained Diffusion Models

Egor Lifar, Semyon Savkin, Timur Garipov +2

In this paper, we propose Diffusion Domain Expansion (DDE), a method that efficiently extends pre-trained diffusion models to generate larger objects and handle more complex condit…

cs.CL2026★ 4 cited

How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings

Yujian Liu, Jiabao Ji, Li An +3

Agent skills, which are reusable, domain-specific knowledge artifacts, have become a popular mechanism for extending LLM-based agents, yet formally benchmarking skill usage perform…

cs.LG2026

Online Reasoning Calibration: Test-Time Training Enables Generalizable Conformal LLM Reasoning

Cai Zhou, Zekai Wang, Menghua Wu +6

While test-time scaling has enabled large language models to solve highly difficult tasks, state-of-the-art results come at exorbitant compute costs. These inefficiencies can be at…