Cover Image

Empathy Applicability Modeling for General Health Queries

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Randhawa, Shan, Raza, Agha Ali, Toyama, Kentaro, Hui, Julie, Naseem, Mustafa
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generalists vs. Specialists: Evaluating Large Language Models for Urdu
by: Arif, Samee, et al.
Published: (2024)

Language Model-Driven Data Pruning Enables Efficient Active Learning
by: Azeemi, Abdul Hameed, et al.
Published: (2024)

The Fellowship of the LLMs: Multi-Model Workflows for Synthetic Preference Optimization Dataset Generation
by: Arif, Samee, et al.
Published: (2024)

WER We Stand: Benchmarking Urdu ASR Models
by: Arif, Samee, et al.
Published: (2024)

PakBBQ: A Culturally Adapted Bias Benchmark for QA
by: Hashmat, Abdullah, et al.
Published: (2025)

To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation
by: Azeemi, Abdul Hameed, et al.
Published: (2024)

UQA: Corpus for Urdu Question Answering
by: Arif, Samee, et al.
Published: (2024)

With a Grain of SALT: Are LLMs Fair Across Social Dimensions?
by: Arif, Samee, et al.
Published: (2024)

Mechanistic Interpretability for Large Language Model Alignment: Progress, Challenges, and Future Directions
by: Naseem, Usman
Published: (2026)

Kahaani: A Multimodal Co-Creative Storytelling System
by: Arif, Samee, et al.
Published: (2024)

ASEM: Enhancing Empathy in Chatbot through Attention-based Sentiment and Emotion Modeling
by: Hamad, Omama, et al.
Published: (2024)

How Deep Is Representational Bias in LLMs? The Cases of Caste and Religion
by: Seth, Agrima, et al.
Published: (2025)

Beyond Uniform Query Distribution: Key-Driven Grouped Query Attention
by: Khan, Zohaib, et al.
Published: (2024)

Evaluating Hierarchical Clinical Document Classification Using Reasoning-Based LLMs
by: Mustafa, Akram, et al.
Published: (2025)

Can Reasoning LLMs Enhance Clinical Document Classification?
by: Mustafa, Akram, et al.
Published: (2025)

Beyond Empathy: Integrating Diagnostic and Therapeutic Reasoning with Large Language Models for Mental Health Counseling
by: Hu, He, et al.
Published: (2025)

Kardia-R1: Unleashing LLMs to Reason toward Understanding and Empathy for Emotional Support via Rubric-as-Judge Reinforcement Learning
by: Yuan, Jiahao, et al.
Published: (2025)

Empathy-R1: A Chain-of-Empathy and Reinforcement Learning Framework for Long-Form Mental Health Support
by: Yao, Xianrong, et al.
Published: (2025)

Empathy Level Alignment via Reinforcement Learning for Empathetic Response Generation
by: Ma, Hui, et al.
Published: (2024)

Efficient-Empathy: Towards Efficient and Effective Selection of Empathy Data
by: Sun, Linzhuang, et al.
Published: (2024)

PersoBench: Benchmarking Personalized Response Generation in Large Language Models
by: Afzoon, Saleh, et al.
Published: (2024)

Distilling Empathy from Large Language Models
by: Xie, Henry J., et al.
Published: (2025)

From Empathy to Personalized Empathy: Adapting Empathetic Strategies to Individual Users
by: Zheng, Wuqiang, et al.
Published: (2026)

From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation
by: Zhang, Zhihao, et al.
Published: (2025)

Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization
by: Deroy, Aniket, et al.
Published: (2024)

Steering Over-refusals Towards Safety in Retrieval Augmented Generation
by: Maskey, Utsav, et al.
Published: (2025)

From Generation to Collaboration: Using LLMs to Edit for Empathy in Healthcare
by: Luo, Man, et al.
Published: (2026)

Heartificial Intelligence: Exploring Empathy in Language Models
by: Williams, Victoria, et al.
Published: (2025)

Revolutionizing Process Mining: A Novel Architecture for ChatGPT Integration and Enhanced User Experience through Optimized Prompt Engineering
by: Kermani, Mehrdad Agha Mohammad Ali, et al.
Published: (2024)

Synth-Empathy: Towards High-Quality Synthetic Empathy Data
by: Liang, Hao, et al.
Published: (2024)

Labels Generated by Large Language Models Help Measure People's Empathy in Vitro
by: Hasan, Md Rakibul, et al.
Published: (2025)

Benchmarking Large Language Models for Cryptanalysis and Side-Channel Vulnerabilities
by: Maskey, Utsav, et al.
Published: (2025)

Seeing the Threat: Vulnerabilities in Vision-Language Models to Adversarial Attack
by: Ren, Juan, et al.
Published: (2025)

Mixed Signals: Understanding Model Disagreement in Multimodal Empathy Detection
by: Srikanth, Maya, et al.
Published: (2025)

DUAL-Bench: Measuring Over-Refusal and Robustness in Vision-Language Models
by: Ren, Kaixuan, et al.
Published: (2025)

Enhancing ESG Impact Type Identification through Early Fusion and Multilingual Models
by: Veeramani, Hariram, et al.
Published: (2024)

PersoPilot: An Adaptive AI-Copilot for Transparent Contextualized Persona Classification and Personalized Response Generation
by: Afzoon, Saleh, et al.
Published: (2026)

Evaluating Large Language Models' Responses to Sexual and Reproductive Health Queries in Nepali
by: Sharma, Medha, et al.
Published: (2026)

Performance Evaluation of Large Language Models in Bangla Consumer Health Query Summarization
by: Abrar, Ajwad, et al.
Published: (2025)

Empathy Through Multimodality in Conversational Interfaces
by: Abbasian, Mahyar, et al.
Published: (2024)