Cover Image

MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Jiatong, Liu, Yunqing, Liu, Wei, Le, Jingdi, Zhang, Di, Fan, Wenqi, Zhou, Dongzhan, Li, Yuqiang, Li, Qing
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Machine Learning Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MolBind: Multimodal Alignment of Language, Molecules, and Proteins
by: Xiao, Teng, et al.
Published: (2024)

Large Language Models are In-Context Molecule Learners
by: Li, Jiatong, et al.
Published: (2024)

Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation
by: Zhang, Yikun, et al.
Published: (2024)

NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
by: Liu, Zhiyuan, et al.
Published: (2025)

MolTC: Towards Molecular Relational Modeling In Language Models
by: Fang, Junfeng, et al.
Published: (2024)

Apo2Mol: 3D Molecule Generation via Dynamic Pocket-Aware Diffusion Models
by: Zheng, Xinzhe, et al.
Published: (2025)

CAGenMol: Condition-Aware Diffusion Language Model for Goal-Directed Molecular Generation
by: Li, Yanting, et al.
Published: (2026)

Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity
by: Jang, Hyosoon, et al.
Published: (2024)

ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining
by: Liu, Zhiyuan, et al.
Published: (2024)

TrustMol: Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics
by: Wijaya, Kevin Tirta, et al.
Published: (2024)

Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT Perspective
by: Li, Jiatong, et al.
Published: (2023)

Re‐examination of statistical relationships between dietary fats and other risk factors, and cardiovascular disease, based on two crucial datasets
by: Jiarui Ou, et al.
Published: (2024)

MolGuidance: Advanced Guidance Strategies for Conditional Molecular Generation with Flow Matching
by: Jin, Jirui, et al.
Published: (2025)

Automated Model-Free Sorting of Single-Molecule Fluorescence Events Using a Deep Learning Based Hidden-State Model
by: Zeng, Wenqi, et al.
Published: (2025)

Physical formula enhanced multi-task learning for pharmacokinetics prediction
by: Li, Ruifeng, et al.
Published: (2024)

Socrates-Mol: Self-Oriented Cognitive Reasoning through Autonomous Trial-and-Error with Empirical-Bayesian Screening for Molecules
by: Wang, Xiangru, et al.
Published: (2025)

Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing
by: Liu, Shengchao, et al.
Published: (2022)

G2T-LLM: Graph-to-Tree Text Encoding for Molecule Generation with Fine-Tuned Large Language Models
by: Yu, Zhaoning, et al.
Published: (2024)

HIGHT: Hierarchical Graph Tokenization for Molecule-Language Alignment
by: Chen, Yongqiang, et al.
Published: (2024)

Evaluating Molecule Synthesizability via Retrosynthetic Planning and Reaction Prediction
by: Liu, Songtao, et al.
Published: (2024)

Pretraining a Foundation Model for Small-Molecule Natural Products
by: Ding, Yuheng, et al.
Published: (2025)

UniIF: Unified Molecule Inverse Folding
by: Gao, Zhangyang, et al.
Published: (2024)

Leveraging Transformer Models to Capture Multi-Scale Dynamics in Biomolecules by nano-GPT
by: Zeng, Wenqi, et al.
Published: (2025)

SEE: Semantically Aligned EEG-to-Text Translation
by: Tao, Yitian, et al.
Published: (2024)

MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning
by: Zhuang, Yuanxin, et al.
Published: (2025)

Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment
by: Ding, Yuhui, et al.
Published: (2025)

Effectiveness of machine learning at modeling the relationship between Hi‐C data and copy number variation
by: Yuyang Wang, et al.
Published: (2024)

Mol-R1: Towards Explicit Long-CoT Reasoning in Molecule Discovery
by: Li, Jiatong, et al.
Published: (2025)

Seq2Bind Webserver for Decoding Binding Hotspots directly from Sequences using Fine-Tuned Protein Language Models
by: Ma, Xiang, et al.
Published: (2025)

Deep learning for drug‐drug interaction prediction: A comprehensive review
by: Xinyue Li, et al.
Published: (2024)

CORE -- A Cell-Level Coarse-to-Fine Image Registration Engine for Multi-stain Image Alignment
by: Nasir, Esha Sadia, et al.
Published: (2025)

De Novo Generation of Hit-like Molecules from Gene Expression Profiles via Deep Learning
by: Li, Chen, et al.
Published: (2024)

RXNRECer Enables Fine-grained Enzymatic Function Annotation through Active Learning and Protein Language Models
by: Shi, Zhenkun, et al.
Published: (2026)

Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond
by: Xu, Kaichen, et al.
Published: (2024)

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery
by: Zhou, Andrew Y., et al.
Published: (2026)

How error correction affects polymerase chain reaction deduplication: A survey based on unique molecular identifier datasets of short reads
by: Pengyao Ping, et al.
Published: (2025)

VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning
by: Tan, Yang, et al.
Published: (2025)

Single‐cell analyses reveal impaired type B spermatogonia differentiation and meiotic entry in C‐Nap1‐null testes
by: Junlin Li, et al.
Published: (2024)

Sequence-Only Prediction of Binding Affinity Changes: A Robust and Interpretable Model for Antibody Engineering
by: Liu, Chen, et al.
Published: (2025)

Patch formation driven by stochastic effects of interaction between viruses and defective interfering particles
by: Liang, Qiantong, et al.
Published: (2023)