Cover Image

Yes, this is what I was looking for! Towards Multi-modal Medical Consultation Concern Summary Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tiwari, Abhisek, Bera, Shreyangshu, Saha, Sriparna, Bhattacharyya, Pushpak, Ghosh, Samrat
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Knowledge-Infused Automated Disease Diagnosis Assistant
by: Tomar, Mohit, et al.
Published: (2024)

An EcoSage Assistant: Towards Building A Multimodal Plant Care Dialogue Assistant
by: Tomar, Mohit, et al.
Published: (2024)

Two eyes, Two views, and finally, One summary! Towards Multi-modal Multi-tasking Knowledge-Infused Medical Dialogue Summarization
by: Saha, Anisha, et al.
Published: (2024)

ToxVidLM: A Multimodal Framework for Toxicity Detection in Code-Mixed Videos
by: Maity, Krishanu, et al.
Published: (2024)

Hi Model, generating 'nice' instead of 'good' is not as bad as generating 'rice'! Towards Context and Semantic Infused Dialogue Generation Loss Function and Evaluation Metric
by: Tiwari, Abhisek, et al.
Published: (2023)

CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning
by: Onyame, Eric, et al.
Published: (2026)

Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development
by: Sahoo, Pranab, et al.
Published: (2024)

FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging
by: Sahoo, Pranab, et al.
Published: (2024)

"I understand why I got this grade": Automatic Short Answer Grading with Feedback
by: Aggarwal, Dishank, et al.
Published: (2024)

Recon, Answer, Verify: Agents in Search of Truth
by: Shukla, Satyam, et al.
Published: (2025)

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
by: Sahoo, Pranab, et al.
Published: (2024)

Emotion Entanglement and Bayesian Inference for Multi-Dimensional Emotion Understanding
by: Kotaprolu, Hemanth, et al.
Published: (2026)

Looks can be Deceptive: Distinguishing Repetition Disfluency from Reduplication
by: Ahmad, Arif, et al.
Published: (2024)

Relic: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples
by: Ghosal, Soumya Suvra, et al.
Published: (2025)

ETF: An Entity Tracing Framework for Hallucination Detection in Code Summaries
by: Maharaj, Kishan, et al.
Published: (2024)

Comparing Large Language Models and Traditional Machine Translation Tools for Translating Medical Consultation Summaries: A Pilot Study
by: Li, Andy, et al.
Published: (2025)

Demystifying ChatGPT: How It Masters Genre Recognition
by: Raj, Subham, et al.
Published: (2025)

Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions
by: Ghosh, Akash, et al.
Published: (2024)

Explain Thyself Bully: Sentiment Aided Cyberbullying Detection with Explanation
by: Maity, Krishanu, et al.
Published: (2024)

GRAFT: A Graph-based Flow-aware Agentic Framework for Document-level Machine Translation
by: Dutta, Himanshu, et al.
Published: (2025)

Understand the Implication: Learning to Think for Pragmatic Understanding
by: Sravanthi, Settaluri Lakshmi, et al.
Published: (2025)

Unveiling the Invisible: Captioning Videos with Metaphors
by: Kalarani, Abisek Rajakumar, et al.
Published: (2024)

Mental Disorder Classification via Temporal Representation of Text
by: Kumar, Raja, et al.
Published: (2024)

How effective are VLMs in assisting humans in inferring the quality of mental models from Multimodal short answers?
by: Sil, Pritam, et al.
Published: (2026)

DocCGen: Document-based Controlled Code Generation
by: Pimparkhede, Sameer, et al.
Published: (2024)

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records
by: Zhao, Shuguang, et al.
Published: (2025)

Format Inertia: A Failure Mechanism of LLMs in Medical Pre-Consultation
by: Lim, Seungseop, et al.
Published: (2025)

MMedAgent: Learning to Use Medical Tools with Multi-modal Agent
by: Li, Binxu, et al.
Published: (2024)

ConCodeEval: Evaluating Large Language Models for Code Constraints in Domain-Specific Languages
by: Kammakomati, Mehant, et al.
Published: (2024)

FedDUAL: A Dual-Strategy with Adaptive Loss and Dynamic Aggregation for Mitigating Data Heterogeneity in Federated Learning
by: Sahoo, Pranab, et al.
Published: (2024)

MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries
by: Ghosh, Akash, et al.
Published: (2024)

DDO: Dual-Decision Optimization for LLM-Based Medical Consultation via Multi-Agent Collaboration
by: Jia, Zhihao, et al.
Published: (2025)

SpeechMedAssist: Efficiently and Effectively Adapting Speech Language Models for Medical Consultation
by: Chen, Sirry, et al.
Published: (2026)

Is the Pope Catholic? Yes, the Pope is Catholic. Generative Evaluation of Non-Literal Intent Resolution in LLMs
by: Yerukola, Akhila, et al.
Published: (2024)

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

QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs
by: Zhang, Weijia, et al.
Published: (2024)

META-GUI: Towards Multi-modal Conversational Agents on Mobile GUI
by: Sun, Liangtai, et al.
Published: (2022)

Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations
by: Jha, Prince, et al.
Published: (2024)

MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention
by: Jha, Prince, et al.
Published: (2024)

LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs
by: Xia, Fei, et al.
Published: (2022)