Copertina

Toward Equitable Access: Leveraging Crowdsourced Reviews to Investigate Public Perceptions of Health Resource Accessibility

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xue, Zhaoqian, Liu, Guanhong, Zhang, Chong, Wei, Kai, Zeng, Qingcheng, Hu, Songhua, Hua, Wenyue, Fan, Lizhou, Zhang, Yongfeng, Li, Lingyao
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes
di: Fan, Lizhou, et al.
Pubblicazione: (2023)

Sympathy over Polarization: A Computational Discourse Analysis of Social Media Posts about the July 2024 Trump Assassination Attempt
di: Zeng, Qingcheng, et al.
Pubblicazione: (2025)

War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars
di: Hua, Wenyue, et al.
Pubblicazione: (2023)

What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents
di: Xue, Zhaoqian, et al.
Pubblicazione: (2024)

Crowdsourced reviews reveal substantial disparities in public perceptions of parking
di: Li, Lingyao, et al.
Pubblicazione: (2024)

ADO: Automatic Data Optimization for Inputs in LLM Prompts
di: Lin, Sam, et al.
Pubblicazione: (2025)

Towards Trustworthy AI: Characterizing User-Reported Risks across LLMs "In the Wild"
di: Li, Lingyao, et al.
Pubblicazione: (2025)

EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs
di: Lin, Sam, et al.
Pubblicazione: (2024)

Crowdsourcing public attitudes toward local services through the lens of Google Maps reviews: An urban density-based perspective
di: Li, Lingyao, et al.
Pubblicazione: (2024)

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities
di: Hua, Wenyue, et al.
Pubblicazione: (2024)

Crowdsourcing-Based Knowledge Graph Construction for Drug Side Effects Using Large Language Models with an Application on Semaglutide
di: Duan, Zhijie, et al.
Pubblicazione: (2025)

A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)
di: Li, Lingyao, et al.
Pubblicazione: (2024)

Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis
di: Yu, Huizi, et al.
Pubblicazione: (2024)

BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis
di: Lin, Shuhang, et al.
Pubblicazione: (2024)

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System
di: Yu, Qinkai, et al.
Pubblicazione: (2024)

A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation
di: Ma, Zihui, et al.
Pubblicazione: (2025)

OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems
di: Xu, Shuyuan, et al.
Pubblicazione: (2023)

NPHardEval4V: Dynamic Evaluation of Large Vision-Language Models with Effects of Vision
di: Li, Xiang, et al.
Pubblicazione: (2024)

Towards Robust Semantic Correspondence: A Benchmark and Insights
di: Chong, Wenyue
Pubblicazione: (2025)

Game-theoretic LLM: Agent Workflow for Negotiation Games
di: Hua, Wenyue, et al.
Pubblicazione: (2024)

Invisible Prompts, Visible Threats: Malicious Font Injection in External Resources for Large Language Models
di: Xiong, Junjie, et al.
Pubblicazione: (2025)

Characterizing Online Toxicity During the 2022 Mpox Outbreak: A Computational Analysis of Topical and Network Dynamics
di: Fan, Lizhou, et al.
Pubblicazione: (2024)

Deciphering Scientific Collaboration in Biomedical LLM Research: Dynamics, Institutional Participation, and Resource Disparities
di: Li, Lingyao, et al.
Pubblicazione: (2025)

Patients Speak, AI Listens: LLM-based Analysis of Online Reviews Uncovers Key Drivers for Urgent Care Satisfaction
di: Xu, Xiaoran, et al.
Pubblicazione: (2025)

AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models
di: Shu, Dong, et al.
Pubblicazione: (2024)

PAP-REC: Personalized Automatic Prompt for Recommendation Language Model
di: Li, Zelong, et al.
Pubblicazione: (2024)

UP5: Unbiased Foundation Model for Fairness-aware Recommendation
di: Hua, Wenyue, et al.
Pubblicazione: (2023)

Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents
di: Li, Zelong, et al.
Pubblicazione: (2024)

TrustAgent: Towards Safe and Trustworthy LLM-based Agents
di: Hua, Wenyue, et al.
Pubblicazione: (2024)

Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
di: Jin, Mingyu, et al.
Pubblicazione: (2024)

When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments
di: Zhang, Chong, et al.
Pubblicazione: (2024)

"HOT" ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social media
di: Li, Lingyao, et al.
Pubblicazione: (2023)

LLM Use for Mental Health: Crowdsourcing Users' Sentiment-based Perspectives and Values from Social Discussions
di: Li, Lingyao, et al.
Pubblicazione: (2025)

Academic collaboration on large language model studies increases overall but varies across disciplines
di: Li, Lingyao, et al.
Pubblicazione: (2024)

Know the Ropes: A Heuristic Strategy for LLM-based Multi-Agent System Design
di: Li, Zhenkun, et al.
Pubblicazione: (2025)

Toward satisfactory public accessibility: A crowdsourcing approach through online reviews to inclusive urban design
di: Li, Lingyao, et al.
Pubblicazione: (2024)

One Rule to Bring Them All: Investigating Transport Connectivity in Public Transport Route Generation for Equitable Access
di: Morozov, Aleksandr, et al.
Pubblicazione: (2026)

IDGenRec: LLM-RecSys Alignment with Textual ID Learning
di: Tan, Juntao, et al.
Pubblicazione: (2024)

MoralBench: Moral Evaluation of LLMs
di: Ji, Jianchao, et al.
Pubblicazione: (2024)

Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface
di: Hua, Wenyue, et al.
Pubblicazione: (2024)