Saved in:
| Main Authors: | Wang, Ziqing, Zhang, Kexin, Zhao, Zihan, Wen, Yibo, Pandey, Abhishek, Liu, Han, Ding, Kaize |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.16094 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
by: Wang, Ziqing, et al.
Published: (2026)
by: Wang, Ziqing, et al.
Published: (2026)
POLO: Preference-Guided Multi-Turn Reinforcement Learning for Lead Optimization
by: Wang, Ziqing, et al.
Published: (2025)
by: Wang, Ziqing, et al.
Published: (2025)
GlassMol: Interpretable Molecular Property Prediction with Concept Bottleneck Models
by: Rivera, Oscar, et al.
Published: (2026)
by: Rivera, Oscar, et al.
Published: (2026)
HopRank: Self-Supervised LLM Preference-Tuning on Graphs for Few-Shot Node Classification
by: Wang, Ziqing, et al.
Published: (2026)
by: Wang, Ziqing, et al.
Published: (2026)
Text-Guided Molecule Generation with Diffusion Language Model
by: Gong, Haisong, et al.
Published: (2024)
by: Gong, Haisong, et al.
Published: (2024)
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
by: Xu, Ruiyao, et al.
Published: (2024)
by: Xu, Ruiyao, et al.
Published: (2024)
How Creative Are Large Language Models in Generating Molecules?
by: Tao, Wen, et al.
Published: (2026)
by: Tao, Wen, et al.
Published: (2026)
How to Make Large Language Models Generate 100% Valid Molecules?
by: Tao, Wen, et al.
Published: (2025)
by: Tao, Wen, et al.
Published: (2025)
Bridging Text and Molecule: A Survey on Multimodal Frameworks for Molecule
by: Xiao, Yi, et al.
Published: (2024)
by: Xiao, Yi, et al.
Published: (2024)
SOMP: Scalable Gradient Inversion for Large Language Models via Subspace-Guided Orthogonal Matching Pursuit
by: Li, Yibo, et al.
Published: (2026)
by: Li, Yibo, et al.
Published: (2026)
GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback
by: Xu, Ruiyao, et al.
Published: (2026)
by: Xu, Ruiyao, et al.
Published: (2026)
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs
by: Liu, Shuhan, et al.
Published: (2024)
by: Liu, Shuhan, et al.
Published: (2024)
A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models
by: Lin, Qika, et al.
Published: (2025)
by: Lin, Qika, et al.
Published: (2025)
Automated Text Mining of Experimental Methodologies from Biomedical Literature
by: Guo, Ziqing
Published: (2024)
by: Guo, Ziqing
Published: (2024)
SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models
by: He, Jinghan, et al.
Published: (2024)
by: He, Jinghan, et al.
Published: (2024)
AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering
by: Wang, Ziqing, et al.
Published: (2025)
by: Wang, Ziqing, et al.
Published: (2025)
Large Language Models on Graphs: A Comprehensive Survey
by: Jin, Bowen, et al.
Published: (2023)
by: Jin, Bowen, et al.
Published: (2023)
DrugAssist: A Large Language Model for Molecule Optimization
by: Ye, Geyan, et al.
Published: (2023)
by: Ye, Geyan, et al.
Published: (2023)
DrugLLM: Open Large Language Model for Few-shot Molecule Generation
by: Liu, Xianggen, et al.
Published: (2024)
by: Liu, Xianggen, et al.
Published: (2024)
Ensemble Learning for Large Language Models in Text and Code Generation: A Survey
by: Ashiga, Mari, et al.
Published: (2025)
by: Ashiga, Mari, et al.
Published: (2025)
Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators
by: Hu, Zhengyu, et al.
Published: (2024)
by: Hu, Zhengyu, et al.
Published: (2024)
A Survey on Model Extraction Attacks and Defenses for Large Language Models
by: Zhao, Kaixiang, et al.
Published: (2025)
by: Zhao, Kaixiang, et al.
Published: (2025)
A Survey on Multilingual Large Language Models: Corpora, Alignment, and Bias
by: Xu, Yuemei, et al.
Published: (2024)
by: Xu, Yuemei, et al.
Published: (2024)
GeLLMO: Generalizing Large Language Models for Multi-property Molecule Optimization
by: Dey, Vishal, et al.
Published: (2025)
by: Dey, Vishal, et al.
Published: (2025)
Text Detoxification: Data Efficiency, Semantic Preservation and Model Generalization
by: Yu, Jing, et al.
Published: (2025)
by: Yu, Jing, et al.
Published: (2025)
Avoiding Copyright Infringement via Large Language Model Unlearning
by: Dou, Guangyao, et al.
Published: (2024)
by: Dou, Guangyao, et al.
Published: (2024)
Empowering Large Language Models for Textual Data Augmentation
by: Li, Yichuan, et al.
Published: (2024)
by: Li, Yichuan, et al.
Published: (2024)
Generalized Category Discovery with Large Language Models in the Loop
by: An, Wenbin, et al.
Published: (2023)
by: An, Wenbin, et al.
Published: (2023)
SOS! Soft Prompt Attack Against Open-Source Large Language Models
by: Yang, Ziqing, et al.
Published: (2024)
by: Yang, Ziqing, et al.
Published: (2024)
Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies
by: Wen, Yibo, et al.
Published: (2024)
by: Wen, Yibo, et al.
Published: (2024)
Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
by: Jin, Mingyu, et al.
Published: (2024)
by: Jin, Mingyu, et al.
Published: (2024)
On the Origins of Linear Representations in Large Language Models
by: Jiang, Yibo, et al.
Published: (2024)
by: Jiang, Yibo, et al.
Published: (2024)
Large Language Models for Controllable Multi-property Multi-objective Molecule Optimization
by: Dey, Vishal, et al.
Published: (2025)
by: Dey, Vishal, et al.
Published: (2025)
Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models
by: Wang, Fei, et al.
Published: (2024)
by: Wang, Fei, et al.
Published: (2024)
GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text
by: Liu, Pengfei, et al.
Published: (2023)
by: Liu, Pengfei, et al.
Published: (2023)
Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models
by: Mekala, Anmol, et al.
Published: (2024)
by: Mekala, Anmol, et al.
Published: (2024)
Cross-Domain Conditional Diffusion Models for Time Series Imputation
by: Zhang, Kexin, et al.
Published: (2025)
by: Zhang, Kexin, et al.
Published: (2025)
Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network
by: Chen, Lin, et al.
Published: (2024)
by: Chen, Lin, et al.
Published: (2024)
Can Large Language Models Understand Molecules?
by: Sadeghi, Shaghayegh, et al.
Published: (2024)
by: Sadeghi, Shaghayegh, et al.
Published: (2024)
Optimizing RLHF Training for Large Language Models with Stage Fusion
by: Zhong, Yinmin, et al.
Published: (2024)
by: Zhong, Yinmin, et al.
Published: (2024)
Similar Items
-
MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
by: Wang, Ziqing, et al.
Published: (2026) -
POLO: Preference-Guided Multi-Turn Reinforcement Learning for Lead Optimization
by: Wang, Ziqing, et al.
Published: (2025) -
GlassMol: Interpretable Molecular Property Prediction with Concept Bottleneck Models
by: Rivera, Oscar, et al.
Published: (2026) -
HopRank: Self-Supervised LLM Preference-Tuning on Graphs for Few-Shot Node Classification
by: Wang, Ziqing, et al.
Published: (2026) -
Text-Guided Molecule Generation with Diffusion Language Model
by: Gong, Haisong, et al.
Published: (2024)