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20232026
most citedTowards 3D Molecule-Text Interpretation in Language Models

8 citations · 89 across the 68 of their papers we have counts for

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5 papers · 1 filter

cs.LG2025★ 1 cited

AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint

Leheng Sheng, Changshuo Shen, Weixiang Zhao +6

As LLMs are increasingly deployed in real-world applications, ensuring their ability to refuse malicious prompts, especially jailbreak attacks, is essential for safe and reliable u…

cs.LG2025

SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models

Junfeng Fang, Yukai Wang, Ruipeng Wang +5

The rapid advancement of multi-modal large reasoning models (MLRMs) -- enhanced versions of multimodal language models (MLLMs) equipped with reasoning capabilities -- has revolutio…

cs.LG2025

Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling

Yanchen Luo, Zhiyuan Liu, Yi Zhao +6

3D molecule generation is crucial for drug discovery and material science, requiring models to process complex multi-modalities, including atom types, chemical bonds, and 3D coordi…

cs.LG2024★ 8 cited

Towards 3D Molecule-Text Interpretation in Language Models

Sihang Li, Zhiyuan Liu, Yanchen Luo +5

Language Models (LMs) have greatly influenced diverse domains. However, their inherent limitation in comprehending 3D molecular structures has considerably constrained their potent…

cs.LG2023★ 5 cited

Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules

Zhiyuan Liu, Yaorui Shi, An Zhang +4

Masked graph modeling excels in the self-supervised representation learning of molecular graphs. Scrutinizing previous studies, we can reveal a common scheme consisting of three ke…