most citedSpectraLLM: Uncovering the Ability of LLMs for Molecular Structure Elucidation from Multi-Spectral Data

3 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Do All Vision Transformers Need Registers? A Cross-Architectural Reassessment

Spiros Baxevanakis, Platon Karageorgis, Ioannis Dravilas +1

Training Vision Transformers (ViTs) presents significant challenges, one of which is the emergence of artifacts in attention maps, hindering their interpretability. Darcet et al. (…

cs.CV2026

MultiBind: A Benchmark for Attribute Misbinding in Multi-Subject Generation

Wenqing Tian, Hanyi Mao, Zhaocheng Liu +4

Subject-driven image generation is increasingly expected to support fine-grained control over multiple entities within a single image. In multi-reference workflows, users may provi…

cs.CL2026

Gumbel Distillation for Parallel Text Generation

Chi Zhang, Xixi Hu, Bo Liu +1

The slow, sequential nature of autoregressive (AR) language models has driven the adoption of parallel decoding methods. However, these non-AR models often sacrifice generation qua…

cs.CL2025

PlotCraft: Pushing the Limits of LLMs for Complex and Interactive Data Visualization

Jiajun Zhang, Jianke Zhang, Zeyu Cui +7

Recent Large Language Models (LLMs) have demonstrated remarkable proficiency in code generation. However, their ability to create complex visualizations for scaled and structured d…

cs.CV2025

GenPilot: A Multi-Agent System for Test-Time Prompt Optimization in Image Generation

Wen Ye, Zhaocheng Liu, Yuwei Gui +6

Text-to-image synthesis has made remarkable progress, yet accurately interpreting complex and lengthy prompts remains challenging, often resulting in semantic inconsistencies and m…

q-bio.QM2025★ 3 cited

SpectraLLM: Uncovering the Ability of LLMs for Molecular Structure Elucidation from Multi-Spectral Data

Yunyue Su, Jiahui Chen, Zao Jiang +4

Automated molecular structure elucidation remains challenging, as existing approaches often depend on pre-compiled databases or restrict themselves to single spectroscopic modaliti…

q-bio.BM2025

Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows

Xiangxin Zhou, Yi Xiao, Haowei Lin +7

The dynamic nature of proteins, influenced by ligand interactions, is essential for comprehending protein function and progressing drug discovery. Traditional structure-based drug…