Towards 3D Molecule-Text Interpretation in Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Sihang, Liu, Zhiyuan, Luo, Yanchen, Wang, Xiang, He, Xiangnan, Kawaguchi, Kenji, Chua, Tat-Seng, Tian, Qi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
by: Liu, Zhiyuan, et al.
Published: (2025)
by: Liu, Zhiyuan, et al.
Published: (2025)
Text-guided Diffusion Model for 3D Molecule Generation
by: Luo, Yanchen, et al.
Published: (2024)
by: Luo, Yanchen, et al.
Published: (2024)
Exploring Optimal Transport-Based Multi-Grained Alignments for Text-Molecule Retrieval
by: Min, Zijun, et al.
Published: (2024)
by: Min, Zijun, et al.
Published: (2024)
When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings
by: Wasi, Azmine Toushik, et al.
Published: (2024)
by: Wasi, Azmine Toushik, et al.
Published: (2024)
Generative Recommendation: Towards Next-generation Recommender Paradigm
by: Wang, Wenjie, et al.
Published: (2023)
by: Wang, Wenjie, et al.
Published: (2023)
PROTOCOL: Late Interaction Retrieval for Protein Homolog Search
by: Cohn, Gabrielle, et al.
Published: (2026)
by: Cohn, Gabrielle, et al.
Published: (2026)
DRAK: Unlocking Molecular Insights with Domain-Specific Retrieval-Augmented Knowledge in LLMs
by: Liu, Jinzhe, et al.
Published: (2024)
by: Liu, Jinzhe, et al.
Published: (2024)
Diffusion Recommender Model
by: Wang, Wenjie, et al.
Published: (2023)
by: Wang, Wenjie, et al.
Published: (2023)
Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models
by: Zhang, Tianyu, et al.
Published: (2024)
by: Zhang, Tianyu, et al.
Published: (2024)
LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation
by: He, Yingzhi, et al.
Published: (2025)
by: He, Yingzhi, et al.
Published: (2025)
CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions
by: Wasi, Azmine Toushik, et al.
Published: (2024)
by: Wasi, Azmine Toushik, et al.
Published: (2024)
A Survey of Generative Search and Recommendation in the Era of Large Language Models
by: Li, Yongqi, et al.
Published: (2024)
by: Li, Yongqi, et al.
Published: (2024)
Personalized Generation In Large Model Era: A Survey
by: Xu, Yiyan, et al.
Published: (2025)
by: Xu, Yiyan, et al.
Published: (2025)
Learning to Ask Critical Questions for Assisting Product Search
by: Li, Zixuan, et al.
Published: (2024)
by: Li, Zixuan, et al.
Published: (2024)
LLaRA: Large Language-Recommendation Assistant
by: Liao, Jiayi, et al.
Published: (2023)
by: Liao, Jiayi, et al.
Published: (2023)
A Study of Implicit Ranking Unfairness in Large Language Models
by: Xu, Chen, et al.
Published: (2023)
by: Xu, Chen, et al.
Published: (2023)
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
by: Lin, Xinyu, et al.
Published: (2023)
by: Lin, Xinyu, et al.
Published: (2023)
Language Representations Can be What Recommenders Need: Findings and Potentials
by: Sheng, Leheng, et al.
Published: (2024)
by: Sheng, Leheng, et al.
Published: (2024)
Integrate Temporal Graph Learning into LLM-based Temporal Knowledge Graph Model
by: Chang, He, et al.
Published: (2025)
by: Chang, He, et al.
Published: (2025)
Towards Goal-oriented Intelligent Tutoring Systems in Online Education
by: Deng, Yang, et al.
Published: (2023)
by: Deng, Yang, et al.
Published: (2023)
Contrastive Pre-training for Deep Session Data Understanding
by: Li, Zixuan, et al.
Published: (2024)
by: Li, Zixuan, et al.
Published: (2024)
On Generative Agents in Recommendation
by: Zhang, An, et al.
Published: (2023)
by: Zhang, An, et al.
Published: (2023)
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation
by: Ma, Yunshan, et al.
Published: (2023)
by: Ma, Yunshan, et al.
Published: (2023)
Exploring Drug Safety Through Knowledge Graphs: Protein Kinase Inhibitors as a Case Study
by: Jackson, David, et al.
Published: (2026)
by: Jackson, David, et al.
Published: (2026)
Order-agnostic Identifier for Large Language Model-based Generative Recommendation
by: Lin, Xinyu, et al.
Published: (2025)
by: Lin, Xinyu, et al.
Published: (2025)
Multi-Grained Patch Training for Efficient LLM-based Recommendation
by: Liao, Jiayi, et al.
Published: (2025)
by: Liao, Jiayi, et al.
Published: (2025)
Denoising Diffusion Recommender Model
by: Zhao, Jujia, et al.
Published: (2024)
by: Zhao, Jujia, et al.
Published: (2024)
Uplift Modeling for Target User Attacks on Recommender Systems
by: Wang, Wenjie, et al.
Published: (2024)
by: Wang, Wenjie, et al.
Published: (2024)
Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems
by: Shi, Tianhao, et al.
Published: (2023)
by: Shi, Tianhao, et al.
Published: (2023)
Understanding Long Videos via LLM-Powered Entity Relation Graphs
by: Chu, Meng, et al.
Published: (2025)
by: Chu, Meng, et al.
Published: (2025)
A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting
by: Chang, He, et al.
Published: (2024)
by: Chang, He, et al.
Published: (2024)
A Federated Framework for LLM-based Recommendation
by: Zhao, Jujia, et al.
Published: (2024)
by: Zhao, Jujia, et al.
Published: (2024)
Heterogeneous User Modeling for LLM-based Recommendation
by: Bao, Honghui, et al.
Published: (2025)
by: Bao, Honghui, et al.
Published: (2025)
Reinforced Prompt Personalization for Recommendation with Large Language Models
by: Mao, Wenyu, et al.
Published: (2024)
by: Mao, Wenyu, et al.
Published: (2024)
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models
by: Fan, Wenqi, et al.
Published: (2024)
by: Fan, Wenqi, et al.
Published: (2024)
CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling
by: Ma, Yunshan, et al.
Published: (2024)
by: Ma, Yunshan, et al.
Published: (2024)
A Taxation Perspective for Fair Re-ranking
by: Xu, Chen, et al.
Published: (2024)
by: Xu, Chen, et al.
Published: (2024)
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
by: Lin, Xinyu, et al.
Published: (2023)
by: Lin, Xinyu, et al.
Published: (2023)
Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling
by: Luo, Yanchen, et al.
Published: (2025)
by: Luo, Yanchen, et al.
Published: (2025)
Tokenizing 3D Molecule Structure with Quantized Spherical Coordinates
by: Gao, Kaiyuan, et al.
Published: (2024)
by: Gao, Kaiyuan, et al.
Published: (2024)
Similar Items
-
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
by: Liu, Zhiyuan, et al.
Published: (2025) -
Text-guided Diffusion Model for 3D Molecule Generation
by: Luo, Yanchen, et al.
Published: (2024) -
Exploring Optimal Transport-Based Multi-Grained Alignments for Text-Molecule Retrieval
by: Min, Zijun, et al.
Published: (2024) -
When SMILES have Language: Drug Classification using Text Classification Methods on Drug SMILES Strings
by: Wasi, Azmine Toushik, et al.
Published: (2024) -
Generative Recommendation: Towards Next-generation Recommender Paradigm
by: Wang, Wenjie, et al.
Published: (2023)