Cover Image

Chemistry Integrated Language Model using Hierarchical Molecular Representation for Polymer Informatics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ahn, Jihun, Irianti, Gabriella Pasya, Thapar, Vikram, Hur, Su-Mi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling
by: Li, Mengran, et al.
Published: (2025)

Learning Repetition-Invariant Representations for Polymer Informatics
by: Zhu, Yihan, et al.
Published: (2025)

Benchmarking Pretrained Molecular Embedding Models For Molecular Representation Learning
by: Praski, Mateusz, et al.
Published: (2025)

Hierarchical Decision Making Based on Structural Information Principles
by: Zeng, Xianghua, et al.
Published: (2024)

Molecular Graph Representation Learning via Structural Similarity Information
by: Yao, Chengyu, et al.
Published: (2024)

Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning
by: Su, Guangxin, et al.
Published: (2024)

Simple Hierarchical Planning with Diffusion
by: Chen, Chang, et al.
Published: (2024)

SPICED: Syntactical Bug and Trojan Pattern Identification in A/MS Circuits using LLM-Enhanced Detection
by: Chaudhuri, Jayeeta, et al.
Published: (2024)

Structural Reasoning Improves Molecular Understanding of LLM
by: Jang, Yunhui, et al.
Published: (2024)

A Simple and Scalable Representation for Graph Generation
by: Jang, Yunhui, et al.
Published: (2023)

Incorporating Spatial Information into Goal-Conditioned Hierarchical Reinforcement Learning via Graph Representations
by: Zhang, Shuyuan, et al.
Published: (2025)

Action-Sufficient Goal Representations
by: Hyeon, Jinu, et al.
Published: (2026)

Adapting Differential Molecular Representation with Hierarchical Prompts for Multi-label Property Prediction
by: Kang, Linjia, et al.
Published: (2024)

Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning
by: Jin, Jikai, et al.
Published: (2025)

H-Probes: Extracting Hierarchical Structures From Latent Representations of Language Models
by: Dawes, Cutter, et al.
Published: (2026)

Reasoning-Enhanced Large Language Models for Molecular Property Prediction
by: Zhuang, Jiaxi, et al.
Published: (2025)

Diffusion-Assisted Distillation for Self-Supervised Graph Representation Learning with MLPs
by: Ahn, Seong Jin, et al.
Published: (2025)

Optimal Policy Sparsification and Low Rank Decomposition for Deep Reinforcement Learning
by: Goddla, Vikram
Published: (2024)

HSA-Net: Hierarchical and Structure-Aware Framework for Efficient and Scalable Molecular Language Modeling
by: Shao, Zihang, et al.
Published: (2025)

Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models
by: Zhang, Tianyu, et al.
Published: (2024)

PaP-NF: Probabilistic Long-Term Time Series Forecasting via Prefix-as-Prompt Reprogramming and Normalizing Flows
by: Kim, Minju, et al.
Published: (2026)

Probabilistic Subgoal Representations for Hierarchical Reinforcement learning
by: Wang, Vivienne Huiling, et al.
Published: (2024)

Hierarchical Molecular Representation Learning via Fragment-Based Self-Supervised Embedding Prediction
by: Wu, Jiele, et al.
Published: (2026)

Can only LLMs do Reasoning?: Potential of Small Language Models in Task Planning
by: Choi, Gawon, et al.
Published: (2024)

TEDDY: Trimming Edges with Degree-based Discrimination strategY
by: Seo, Hyunjin, et al.
Published: (2024)

HH-SAE: Discovering and Steering Hierarchical Knowledge of Complex Manifolds
by: Wu, Honghan, et al.
Published: (2026)

Learning Flexible Forward Trajectories for Masked Molecular Diffusion
by: Seo, Hyunjin, et al.
Published: (2025)

A Hierarchical Language Model For Interpretable Graph Reasoning
by: Khurana, Sambhav, et al.
Published: (2024)

Pruning and Distilling Mixture-of-Experts into Dense Language Models
by: Kim, Junhyuck, et al.
Published: (2026)

Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-directed Molecular Generation
by: Park, Jinyeong, et al.
Published: (2024)

A Novel Hierarchical Integration Method for Efficient Model Merging in Medical LLMs
by: Timilsina, Prakrit, et al.
Published: (2025)

Masked Omics Modeling for Multimodal Representation Learning across Histopathology and Molecular Profiles
by: Robinet, Lucas, et al.
Published: (2025)

PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer
by: Chen, Chang, et al.
Published: (2024)

Predictive Clustering of Vessel Behavior Based on Hierarchical Trajectory Representation
by: Zhang, Rui, et al.
Published: (2024)

Understanding Structural Representation in Foundation Models for Polymers
by: Park, Nathaniel H., et al.
Published: (2025)

$\text{M}^{2}$LLM: Multi-view Molecular Representation Learning with Large Language Models
by: Ju, Jiaxin, et al.
Published: (2025)

Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing
by: Fan, Ziyu, et al.
Published: (2025)

Hierarchical Adaptive Eviction for KV Cache Management in Multimodal Language Models
by: Ma, Xindian, et al.
Published: (2026)

MIRROR: A Hierarchical Benchmark for Metacognitive Calibration in Large Language Models
by: Wang, Jason Z
Published: (2026)

Equivariant Masked Position Prediction for Efficient Molecular Representation
by: An, Junyi, et al.
Published: (2025)