activity
20242026
most citedDiffusion Models for Molecules: A Survey of Methods and Tasks

6 citations · 6 across the 11 of their papers we have counts for

collaborators

18 papers

cs.CL2026

NAG: A Unified Native Architecture for Encoder-free Text-Graph Modeling in Language Models

Haisong Gong, Zhibo Liu, Qiang Liu +2

Prevailing methods for integrating graphs into Language Models (LMs) typically rely on a segregated architecture: external Graph Neural Networks (GNNs) encode structural topology,…

cs.AI2026

ToolWeaver: Weaving Collaborative Semantics for Scalable Tool Use in Large Language Models

Bowen Fang, Wen Ye, Yunyue Su +8

Prevalent retrieval-based tool-use pipelines struggle with a dual semantic challenge: their retrievers often employ encoders that fail to capture complex semantics, while the Large…

cs.CV2025

AgriDoctor: A Multimodal Intelligent Assistant for Agriculture

Mingqing Zhang, Zhuoning Xu, Peijie Wang +6

Accurate crop disease diagnosis is essential for sustainable agriculture and global food security. Existing methods, which primarily rely on unimodal models such as image-based cla…

cs.MM2025

Mining the Social Fabric: Unveiling Communities for Fake News Detection in Short Videos

Haisong Gong, Bolan Su, Xinrong Zhang +4

Short video platforms have become a major medium for information sharing, but their rapid content generation and algorithmic amplification also enable the widespread dissemination…

cs.LG2025

DiffSpectra: Molecular Structure Elucidation from Spectra using Diffusion Models

Liang Wang, Yu Rong, Tingyang Xu +7

Molecular structure elucidation from spectra is a fundamental challenge in molecular science. Conventional approaches rely heavily on expert interpretation and lack scalability, wh…

cs.CL2025

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG

Xin Sun, Jianan Xie, Zhongqi Chen +7

Large language models (LLMs) augmented with retrieval systems have significantly advanced natural language processing tasks by integrating external knowledge sources, enabling more…