Image de couverture de livre

MolAct: An Agentic RL Framework for Molecular Editing and Property Optimization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yang, Zhuo, Chen, Yeyun, Xie, Jiaqing, Gao, Ben, Shen, Shuaike, Liu, Wanhao, Yang, Liujia, Wang, Beilun, Fu, Tianfan, Li, Yuqiang
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SpecMol: A Spectroscopy-Grounded Foundation Model for Multi-Task Molecular Learning
par: Shen, Shuaike, et autres
Publié: (2025)

Reasoning BO: Enhancing Bayesian Optimization with Long-Context Reasoning Power of LLMs
par: Yang, Zhuo, et autres
Publié: (2025)

SkillsInjector: Dynamic Skill Context Construction for LLM Agents
par: Li, Yanchao, et autres
Publié: (2026)

NMRTrans: Structure Elucidation from Experimental NMR Spectra via Set Transformers
par: Yang, Liujia, et autres
Publié: (2026)

QCBench: Evaluating Large Language Models on Domain-Specific Quantitative Chemistry
par: Xie, Jiaqing, et autres
Publié: (2025)

SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy
par: Yang, Zhuo, et autres
Publié: (2025)

DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning
par: Xie, Jiaqing, et autres
Publié: (2024)

OmniMatBench: A Human-Calibrated Multimodal Reasoning Benchmark Across 19 Materials Science Subfields
par: Liu, Wanhao, et autres
Publié: (2026)

MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning
par: Zhuang, Yuanxin, et autres
Publié: (2025)

ChemMLLM: Chemical Multimodal Large Language Model
par: Tan, Qian, et autres
Publié: (2025)

R$^{2}$Seg: Training-Free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection
par: Shen, Shuaike, et autres
Publié: (2025)

MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses
par: Yang, Zonglin, et autres
Publié: (2024)

MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
par: Wang, Ziqing, et autres
Publié: (2026)

MolSight: Molecular Property Prediction with Images
par: Baranwal, Aaditya, et autres
Publié: (2026)

Quantized SO(3)-Equivariant Graph Neural Networks for Efficient Molecular Property Prediction
par: Zhou, Haoyu, et autres
Publié: (2026)

MolWorld: Molecule World Models for Actionable Molecular Optimization
par: Qiao, Yang, et autres
Publié: (2026)

Does the Question Really Matter? Training-Free Data Selection for Vision-Language SFT
par: Sun, Peng, et autres
Publié: (2026)

PhotoAgent: Agentic Photo Editing with Exploratory Visual Aesthetic Planning
par: Yao, Mingde, et autres
Publié: (2026)

Probabilistic Modeling of Multi-rater Medical Image Segmentation for Diversity and Personalization
par: Liu, Ke, et autres
Publié: (2025)

MolEvolve: LLM-Guided Evolutionary Search for Interpretable Molecular Optimization
par: Chen, Xiangsen, et autres
Publié: (2026)

Agent^2 RL-Bench: Can LLM Agents Engineer Agentic RL Post-Training?
par: Chen, Wanyi, et autres
Publié: (2026)

Rate-distortion Optimized Point Cloud Preprocessing for Geometry-based Point Cloud Compression
par: Ma, Wanhao, et autres
Publié: (2025)

MolVision: Molecular Property Prediction with Vision Language Models
par: Adak, Deepan, et autres
Publié: (2025)

MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality
par: Li, Shuaike, et autres
Publié: (2025)

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery
par: Zhou, Andrew Y., et autres
Publié: (2026)

ProAct: Agentic Lookahead in Interactive Environments
par: Yu, Yangbin, et autres
Publié: (2026)

MaskMol: Knowledge-guided Molecular Image Pre-Training Framework for Activity Cliffs
par: Cheng, Zhixiang, et autres
Publié: (2024)

MolDeTox: Evaluating Language Model's Stepwise Fragment Editing for Molecular Detoxification
par: Park, Jueon, et autres
Publié: (2026)

From Sentences to Sequences: Rethinking Languages in Biological System
par: Liu, Ke, et autres
Publié: (2025)

GlassMol: Interpretable Molecular Property Prediction with Concept Bottleneck Models
par: Rivera, Oscar, et autres
Publié: (2026)

NMRGym: A Comprehensive Benchmark for Nuclear Magnetic Resonance Based Molecular Structure Elucidation
par: Fang, Zheng, et autres
Publié: (2026)

QCS-ADME: Quantum Circuit Search for Drug Property Prediction with Imbalanced Data and Regression Adaptation
par: Zheng, Kangyu, et autres
Publié: (2025)

Skill Reuse as Compression in Agentic RL
par: Xu, Zhikun, et autres
Publié: (2026)

3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information
par: Kuang, Taojie, et autres
Publié: (2023)

MaskMol: Knowledge-guided Molecular Image Pre-Training Framework for Activity Cliffs with Pixel Masking
par: Cheng, Zhixiang, et autres
Publié: (2025)

PolyReal: A Benchmark for Real-World Polymer Science Workflows
par: Liu, Wanhao, et autres
Publié: (2026)

From Fact Overwriting to Knowledge Evolution: Causal Editing via On-Policy Self-Distillation
par: Li, Shuaike, et autres
Publié: (2026)

MolSets: Molecular Graph Deep Sets Learning for Mixture Property Modeling
par: Zhang, Hengrui, et autres
Publié: (2023)

MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction
par: Park, Jun-Hyung, et autres
Publié: (2024)

More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning
par: Yu, Wanhao, et autres
Publié: (2025)