works on

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

collaborators

15 papers

cs.CV2026

UniWorld-Design: From Pixel Generation to Layer-Native Design

Zongjian Li, Zhiyuan Yan, Chenxu Bai +9

We introduce UniWorld-Design, a framework that redefines image generation from flat pixel synthesis to structured visual composition, with semantic RGBA layers as the atomic units…

cs.AI2026

Divergence Decoding: Training-Free Capability Fusion

Yimi Wang, Hao Li, Shuo Yang +6

The paper proposes Divergence Decoding, a training‑free method that dynamically routes token generation between a generalist LLM and a domain‑specialist LLM using Jensen‑Shannon di…

physics.chem-ph2026

Hypothesis-and-Refinement Learning of Organic Structures from Multimodal Spectroscopic Data

Chengchun Liu, Zhiyuan Yan, Li Yuan +5

Determining molecular structures from spectroscopic data remains fundamentally challenging because the inverse problem is intrinsically underdetermined: individual spectra are spar…

q-bio.BM2026

MoleCode unlocks structural intelligence in large language models

Zhiyuan Yan, Chen Liu, Boxuan Zhao +8

Molecules are graphs, but large language models~(LLMs) are usually asked to reason about them through linear strings. The most popular molecular representation, SMILES, compresses…

cs.CV2026

Unified Multimodal Models as Auto-Encoders

Zhiyuan Yan, Kaiqing Lin, Zongjian Li +10

Image-to-text (I2T) understanding and text-to-image (T2I) generation are two fundamental, important yet traditionally isolated multimodal tasks. Despite their intrinsic connection,…

cs.LG2026

Agentic reinforcement learning empowers next-generation chemical language models for molecular design and synthesis

Hao Li, He Cao, Shenyao Peng +7

Language models are revolutionizing the biochemistry domain, assisting scientists in drug design and chemical synthesis with high efficiency. Yet current approaches struggle betwee…