Practicing with Language Models Cultivates Human Empathic Communication
Fuente:
arXiv
Saved in:
| Main Authors: | Kumar, Aakriti, Poungpeth, Nalin, Yang, Diyi, Lambert, Bruce, Groh, Matthew |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
When Large Language Models are Reliable for Judging Empathic Communication
by: Kumar, Aakriti, et al.
Published: (2025)
by: Kumar, Aakriti, et al.
Published: (2025)
Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations
by: Poungpeth, Nalin, et al.
Published: (2026)
by: Poungpeth, Nalin, et al.
Published: (2026)
Empathic Grounding: Explorations using Multimodal Interaction and Large Language Models with Conversational Agents
by: Arjmand, Mehdi, et al.
Published: (2024)
by: Arjmand, Mehdi, et al.
Published: (2024)
Grounding Gaps in Language Model Generations
by: Shaikh, Omar, et al.
Published: (2023)
by: Shaikh, Omar, et al.
Published: (2023)
Social Skill Training with Large Language Models
by: Yang, Diyi, et al.
Published: (2024)
by: Yang, Diyi, et al.
Published: (2024)
Aligning Language Models with Demonstrated Feedback
by: Shaikh, Omar, et al.
Published: (2024)
by: Shaikh, Omar, et al.
Published: (2024)
Reading Users' Minds from What They Say: An Investigation into LLM-based Empathic Mental Inference
by: Zhu, Qihao, et al.
Published: (2024)
by: Zhu, Qihao, et al.
Published: (2024)
Multi-Level Feedback Generation with Large Language Models for Empowering Novice Peer Counselors
by: Chaszczewicz, Alicja, et al.
Published: (2024)
by: Chaszczewicz, Alicja, et al.
Published: (2024)
Generative Interfaces for Language Models
by: Chen, Jiaqi, et al.
Published: (2025)
by: Chen, Jiaqi, et al.
Published: (2025)
E-THER: A Multimodal Dataset for Empathic AI -- Towards Emotional Mismatch Awareness
by: Tahir, Sharjeel, et al.
Published: (2025)
by: Tahir, Sharjeel, et al.
Published: (2025)
Helping the Helper: Supporting Peer Counselors via AI-Empowered Practice and Feedback
by: Hsu, Shang-Ling, et al.
Published: (2023)
by: Hsu, Shang-Ling, et al.
Published: (2023)
Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent Collaboration
by: Shao, Yijia, et al.
Published: (2024)
by: Shao, Yijia, et al.
Published: (2024)
Learning Next Action Predictors from Human-Computer Interaction
by: Shaikh, Omar, et al.
Published: (2026)
by: Shaikh, Omar, et al.
Published: (2026)
Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images
by: Kamali, Negar, et al.
Published: (2025)
by: Kamali, Negar, et al.
Published: (2025)
When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration
by: Shi, Quan, et al.
Published: (2025)
by: Shi, Quan, et al.
Published: (2025)
Granuscore: A Reference-Free Measure of Granularity for Text Analysis and Question Answering
by: Ellinger, Lukas, et al.
Published: (2026)
by: Ellinger, Lukas, et al.
Published: (2026)
Empathic Prompting: Non-Verbal Context Integration for Multimodal LLM Conversations
by: Stacchio, Lorenzo, et al.
Published: (2025)
by: Stacchio, Lorenzo, et al.
Published: (2025)
How Do AI Agents Do Human Work? Comparing AI and Human Workflows Across Diverse Occupations
by: Wang, Zora Zhiruo, et al.
Published: (2025)
by: Wang, Zora Zhiruo, et al.
Published: (2025)
Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles
by: Louie, Ryan, et al.
Published: (2024)
by: Louie, Ryan, et al.
Published: (2024)
Are Humans as Brittle as Large Language Models?
by: Li, Jiahui, et al.
Published: (2025)
by: Li, Jiahui, et al.
Published: (2025)
The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas
by: Si, Chenglei, et al.
Published: (2025)
by: Si, Chenglei, et al.
Published: (2025)
What Large Language Models Know and What People Think They Know
by: Steyvers, Mark, et al.
Published: (2024)
by: Steyvers, Mark, et al.
Published: (2024)
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
by: Si, Chenglei, et al.
Published: (2024)
by: Si, Chenglei, et al.
Published: (2024)
Large Language Models for Virtual Human Gesture Selection
by: Torshizi, Parisa Ghanad, et al.
Published: (2025)
by: Torshizi, Parisa Ghanad, et al.
Published: (2025)
Knoll: Creating a Knowledge Ecosystem for Large Language Models
by: Zhao, Dora, et al.
Published: (2025)
by: Zhao, Dora, et al.
Published: (2025)
To Bias or Not to Bias: Detecting bias in News with bias-detector
by: Ghosh, Himel, et al.
Published: (2025)
by: Ghosh, Himel, et al.
Published: (2025)
EMMI: Empathic Human-Machine Interaction for Establishing Trust in Automated Driving
by: Oetermann, Tobias, et al.
Published: (2022)
by: Oetermann, Tobias, et al.
Published: (2022)
Adapting Large Language Models for Character-based Augmentative and Alternative Communication
by: Gaines, Dylan, et al.
Published: (2025)
by: Gaines, Dylan, et al.
Published: (2025)
Large Language Model-based Human-Agent Collaboration for Complex Task Solving
by: Feng, Xueyang, et al.
Published: (2024)
by: Feng, Xueyang, et al.
Published: (2024)
Towards Predictive Communication with Brain-Computer Interfaces integrating Large Language Models
by: Caria, Andrea
Published: (2024)
by: Caria, Andrea
Published: (2024)
The Effect of Empathic Expression Levels in Virtual Human Interaction: A Controlled Experiment
by: Park, Sung, et al.
Published: (2025)
by: Park, Sung, et al.
Published: (2025)
Large Language Models Help Humans Verify Truthfulness -- Except When They Are Convincingly Wrong
by: Si, Chenglei, et al.
Published: (2023)
by: Si, Chenglei, et al.
Published: (2023)
Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models
by: Dhillon, Paramveer S., et al.
Published: (2024)
by: Dhillon, Paramveer S., et al.
Published: (2024)
Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence
by: McIntosh, Timothy R., et al.
Published: (2024)
by: McIntosh, Timothy R., et al.
Published: (2024)
Creating General User Models from Computer Use
by: Shaikh, Omar, et al.
Published: (2025)
by: Shaikh, Omar, et al.
Published: (2025)
Natural Language Communication with a Teachable Agent
by: Love, Rachel, et al.
Published: (2022)
by: Love, Rachel, et al.
Published: (2022)
Animating Language Practice: Engagement with Stylized Conversational Agents in Japanese Learning
by: Rackauckas, Zackary, et al.
Published: (2025)
by: Rackauckas, Zackary, et al.
Published: (2025)
Beyond Prompts: Learning from Human Communication for Enhanced AI Intent Alignment
by: Kim, Yoonsu, et al.
Published: (2024)
by: Kim, Yoonsu, et al.
Published: (2024)
IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction
by: Lin, Inna Wanyin, et al.
Published: (2024)
by: Lin, Inna Wanyin, et al.
Published: (2024)
Rehearsal: Simulating Conflict to Teach Conflict Resolution
by: Shaikh, Omar, et al.
Published: (2023)
by: Shaikh, Omar, et al.
Published: (2023)
Similar Items
-
When Large Language Models are Reliable for Judging Empathic Communication
by: Kumar, Aakriti, et al.
Published: (2025) -
Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations
by: Poungpeth, Nalin, et al.
Published: (2026) -
Empathic Grounding: Explorations using Multimodal Interaction and Large Language Models with Conversational Agents
by: Arjmand, Mehdi, et al.
Published: (2024) -
Grounding Gaps in Language Model Generations
by: Shaikh, Omar, et al.
Published: (2023) -
Social Skill Training with Large Language Models
by: Yang, Diyi, et al.
Published: (2024)