Copertina

Multi-Level Feedback Generation with Large Language Models for Empowering Novice Peer Counselors

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chaszczewicz, Alicja, Shah, Raj Sanjay, Louie, Ryan, Arnow, Bruce A, Kraut, Robert, Yang, Diyi
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Human-Computer Interaction Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Can LLM-Simulated Practice and Feedback Upskill Human Counselors? A Randomized Study with 90+ Novice Counselors
di: Louie, Ryan, et al.
Pubblicazione: (2025)

Helping the Helper: Supporting Peer Counselors via AI-Empowered Practice and Feedback
di: Hsu, Shang-Ling, et al.
Pubblicazione: (2023)

The Rise of AI Companions: Interaction with AI Companions and Psychological Well-being
di: Zhang, Yutong, et al.
Pubblicazione: (2025)

Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles
di: Louie, Ryan, et al.
Pubblicazione: (2024)

Knoll: Creating a Knowledge Ecosystem for Large Language Models
di: Zhao, Dora, et al.
Pubblicazione: (2025)

When Large Language Models are Reliable for Judging Empathic Communication
di: Kumar, Aakriti, et al.
Pubblicazione: (2025)

Aligning Language Models with Demonstrated Feedback
di: Shaikh, Omar, et al.
Pubblicazione: (2024)

Simulating Novice Students Using Machine Unlearning and Relearning in Large Language Models
di: Song, Jiajia, et al.
Pubblicazione: (2026)

Leveraging Peer, Self, and Teacher Assessments for Generative AI-Enhanced Feedback
di: Becerra, Alvaro, et al.
Pubblicazione: (2025)

Practicing with Language Models Cultivates Human Empathic Communication
di: Kumar, Aakriti, et al.
Pubblicazione: (2026)

LessonPlanner: Assisting Novice Teachers to Prepare Pedagogy-Driven Lesson Plans with Large Language Models
di: Fan, Haoxiang, et al.
Pubblicazione: (2024)

Generating Automatic Feedback on UI Mockups with Large Language Models
di: Duan, Peitong, et al.
Pubblicazione: (2024)

Social Skill Training with Large Language Models
di: Yang, Diyi, et al.
Pubblicazione: (2024)

Grounding Gaps in Language Model Generations
di: Shaikh, Omar, et al.
Pubblicazione: (2023)

Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices
di: Xiao, Ruiwei, et al.
Pubblicazione: (2024)

AI, Expert or Peer? -- Examining the Impact of Perceived Feedback Source on Pre-Service Teachers Feedback Perception and Uptake
di: Jacobsen, Lucas Jasper, et al.
Pubblicazione: (2025)

Simulating Couple Conflict: Designing A Multi-Agent System for Therapy Training and Practice
di: Wang, Canwen, et al.
Pubblicazione: (2026)

Exploring Opportunities to Support Novice Visual Artists' Inspiration and Ideation with Generative AI
di: Peng, Cindy, et al.
Pubblicazione: (2025)

Keyframer: Empowering Animation Design using Large Language Models
di: Tseng, Tiffany, et al.
Pubblicazione: (2024)

ComPeer: A Generative Conversational Agent for Proactive Peer Support
di: Liu, Tianjian, et al.
Pubblicazione: (2024)

SPHERE: An Evaluation Card for Human-AI Systems
di: Ma, Qianou, et al.
Pubblicazione: (2025)

CLEAR: Towards Contextual LLM-Empowered Privacy Policy Analysis and Risk Generation for Large Language Model Applications
di: Chen, Chaoran, et al.
Pubblicazione: (2024)

Evaluating the Quality of Code Comments Generated by Large Language Models for Novice Programmers
di: Fan, Aysa Xuemo, et al.
Pubblicazione: (2024)

Generative Interfaces for Language Models
di: Chen, Jiaqi, et al.
Pubblicazione: (2025)

MentalImager: Exploring Generative Images for Assisting Support-Seekers' Self-Disclosure in Online Mental Health Communities
di: Zhang, Han, et al.
Pubblicazione: (2024)

From Reality to Recognition: Evaluating Visualization Analogies for Novice Chart Comprehension
di: Huang, Oliver, et al.
Pubblicazione: (2025)

InterMind: Doctor-Patient-Family Interactive Depression Assessment Empowered by Large Language Models
di: Zhou, Zhiyuan, et al.
Pubblicazione: (2024)

CA+: Cognition Augmented Counselor Agent Framework for Long-term Dynamic Client Engagement
di: Tang, Yuanrong, et al.
Pubblicazione: (2025)

The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers
di: Prather, James, et al.
Pubblicazione: (2024)

Establishing Heuristics for Improving the Usability of GUI Machine Learning Tools for Novice Users
di: Yamani, Asma, et al.
Pubblicazione: (2024)

Engineering Trustworthy Automation: Design Principles and Evaluation for AutoML Tools for Novices
di: Thys, Jarne, et al.
Pubblicazione: (2025)

WeldAR: Augmenting Live Hands-On Training with In-Situ Guidance for Novice Learners
di: Xu, Chuhan, et al.
Pubblicazione: (2026)

Constraining Participation: Affordances of Feedback Features in Interfaces to Large Language Models
di: Cooper, Ned, et al.
Pubblicazione: (2024)

Integrating Multi-Label Classification and Generative AI for Scalable Analysis of User Feedback
di: Loop, Sandra, et al.
Pubblicazione: (2026)

Better Together? The Role of Explanations in Supporting Novices in Individual and Collective Deliberations about AI
di: Schmude, Timothée, et al.
Pubblicazione: (2024)

Make it Simple, Make it Dance: Dance Motion Simplification to Support Novices' Dance Learning
di: Han, Hyunyoung, et al.
Pubblicazione: (2026)

Who's the Leader? Analyzing Novice Workflows in LLM-Assisted Debugging of Machine Learning Code
di: Bo, Jessica Y., et al.
Pubblicazione: (2025)

Invisible Saboteurs: Sycophantic LLMs Mislead Novices in Problem-Solving Tasks
di: Bo, Jessica Y., et al.
Pubblicazione: (2025)

Behavior Latticing: Inferring User Motivations from Unstructured Interactions
di: Zhao, Dora, et al.
Pubblicazione: (2026)

From First Draft to Final Insight: A Multi-Agent Approach for Feedback Generation
di: Cao, Jie, et al.
Pubblicazione: (2025)