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

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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…