Cover Image

ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Zhaoyue, Li, Jiazheng, Pergola, Gabriele, He, Yulan
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information
by: Bobrov, Artem, et al.
Published: (2024)

Cascading Large Language Models for Salient Event Graph Generation
by: Tan, Xingwei, et al.
Published: (2024)

ImageDDI: Image-enhanced Molecular Motif Sequence Representation for Drug-Drug Interaction Prediction
by: He, Yuqin, et al.
Published: (2025)

Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study
by: Sun, Zhaoyue, et al.
Published: (2024)

When in Doubt, Consult: Expert Debate for Sexism Detection via Confidence-Based Routing
by: Alajmi, Anwar, et al.
Published: (2025)

AIM-DDI: A Model-Agnostic Multimodal Integration Module for Drug-Drug Interaction Prediction
by: Park, Yerin, et al.
Published: (2026)

Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives
by: Zhao, Runcong, et al.
Published: (2024)

A Survey of Automatic Hallucination Evaluation on Natural Language Generation
by: Qi, Siya, et al.
Published: (2024)

LearnLens: LLM-Enabled Personalised, Curriculum-Grounded Feedback with Educators in the Loop
by: Zhao, Runcong, et al.
Published: (2025)

DrugAgent: Multi-Agent Large Language Model-Based Reasoning for Drug-Target Interaction Prediction
by: Inoue, Yoshitaka, et al.
Published: (2024)

Chinese Discharge Drug Recommendation in Metabolic Diseases with Large Language Models
by: Li, Juntao, et al.
Published: (2025)

Rehearse With User: Personalized Opinion Summarization via Role-Playing based on Large Language Models
by: Zhang, Yanyue, et al.
Published: (2025)

MixRx: Predicting Drug Combination Interactions with LLMs
by: Surana, Risha, et al.
Published: (2025)

Extracting Event Temporal Relations via Hyperbolic Geometry
by: Tan, Xingwei, et al.
Published: (2021)

Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for Drug Development
by: Ma, Tengfei, et al.
Published: (2024)

Large, Small or Both: A Novel Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization
by: Zhang, Yanyue, et al.
Published: (2024)

Natural Language Counterfactual Explanations for Graphs Using Large Language Models
by: Giorgi, Flavio, et al.
Published: (2024)

Explaining Datasets in Words: Statistical Models with Natural Language Parameters
by: Zhong, Ruiqi, et al.
Published: (2024)

Emerging Opportunities of Using Large Language Models for Translation Between Drug Molecules and Indications
by: Oniani, David, et al.
Published: (2024)

CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic Modeling
by: Fang, Zheng, et al.
Published: (2023)

OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models
by: Xu, Hainiu, et al.
Published: (2024)

PONTE: Personalized Orchestration for Natural Language Trustworthy Explanations
by: Vineis, Vittoria, et al.
Published: (2026)

From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing
by: Xiang, Chengrui, et al.
Published: (2025)

DREaM: Drug-Drug Relation Extraction via Transfer Learning Method
by: Fata, Ali, et al.
Published: (2025)

Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring
by: Li, Jiazheng, et al.
Published: (2024)

TEII: Think, Explain, Interact and Iterate with Large Language Models to Solve Cross-lingual Emotion Detection
by: Cheng, Long, et al.
Published: (2024)

Can Hallucinations Help? Boosting LLMs for Drug Discovery
by: Yuan, Shuzhou, et al.
Published: (2025)

TriEx: A Game-based Tri-View Framework for Explaining Internal Reasoning in Multi-Agent LLMs
by: Wang, Ziyi, et al.
Published: (2026)

Explingo: Explaining AI Predictions using Large Language Models
by: Zytek, Alexandra, et al.
Published: (2024)

MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models
by: Li, Jiachun, et al.
Published: (2024)

COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation
by: Wang, Qingyun, et al.
Published: (2020)

Deep Natural Language Feature Learning for Interpretable Prediction
by: Urrutia, Felipe, et al.
Published: (2023)

GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer Pharmacovigilance
by: Jamil, Sofia, et al.
Published: (2025)

LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
by: De Vito, Gabriele, et al.
Published: (2025)

Assessing LLMs for Serendipity Discovery in Knowledge Graphs: A Case for Drug Repurposing
by: Wang, Mengying, et al.
Published: (2025)

FDARxBench: Benchmarking Regulatory and Clinical Reasoning on FDA Generic Drug Assessment
by: Xiong, Betty, et al.
Published: (2026)

BaiJia: A Large-Scale Role-Playing Agent Corpus of Chinese Historical Characters
by: Bai, Ting, et al.
Published: (2024)

Explaining the Reasoning of Large Language Models Using Attribution Graphs
by: Walker, Chase, et al.
Published: (2025)

MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
by: Li, Jiazheng, et al.
Published: (2025)

Can Language Models Solve Graph Problems in Natural Language?
by: Wang, Heng, et al.
Published: (2023)