"Not in My Backyard": LLMs Uncover Online and Offline Social Biases Against Homelessness
Fuente:
arXiv
Saved in:
| Main Authors: | Karr Jr., Jonathan A., Herbst, Benjamin F., Sisk, Matthew L., Li, Xueyun, Hua, Ting, Hauenstein, Matthew, Curto, Georgina, Chawla, Nitesh V. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenance
by: Ai, Kuangshi, et al.
Published: (2025)
by: Ai, Kuangshi, et al.
Published: (2025)
AgentDrug: Utilizing Large Language Models in An Agentic Workflow for Zero-Shot Molecular Editing
by: Le, Khiem, et al.
Published: (2024)
by: Le, Khiem, et al.
Published: (2024)
Not in My Backyard! Temporal Voting Over Public Chores
by: Elkind, Edith, et al.
Published: (2025)
by: Elkind, Edith, et al.
Published: (2025)
Faster Results from a Smarter Schedule: Reframing Collegiate Cross Country through Analysis of the National Running Club Database
by: Karr Jr, Jonathan A., et al.
Published: (2025)
by: Karr Jr, Jonathan A., et al.
Published: (2025)
Can we Soft Prompt LLMs for Graph Learning Tasks?
by: Liu, Zheyuan, et al.
Published: (2024)
by: Liu, Zheyuan, et al.
Published: (2024)
EcoSphere: A Decision-Support Tool for Automated Carbon Emission and Cost Optimization in Sustainable Urban Development
by: Ghorbany, Siavash, et al.
Published: (2025)
by: Ghorbany, Siavash, et al.
Published: (2025)
Bridging Offline and Online Reinforcement Learning for LLMs
by: Lanchantin, Jack, et al.
Published: (2025)
by: Lanchantin, Jack, et al.
Published: (2025)
Stochastic Exploration of Real Varieties via Variety Distributions
by: Kahle, David, et al.
Published: (2024)
by: Kahle, David, et al.
Published: (2024)
Exploring the Boundaries of Content Moderation in Text-to-Image Generation
by: Riccio, Piera, et al.
Published: (2024)
by: Riccio, Piera, et al.
Published: (2024)
Exploring Conversational Design Choices in LLMs for Pedagogical Purposes: Socratic and Narrative Approaches for Improving Instructor's Teaching Practice
by: Chen, Si, et al.
Published: (2025)
by: Chen, Si, et al.
Published: (2025)
LLMs are Biased Evaluators But Not Biased for Retrieval Augmented Generation
by: Chen, Yen-Shan, et al.
Published: (2024)
by: Chen, Yen-Shan, et al.
Published: (2024)
Automated Benchmark Generation from Domain Guidelines Informed by Bloom's Taxonomy
by: Chen, Si, et al.
Published: (2026)
by: Chen, Si, et al.
Published: (2026)
OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants
by: Ranjit, Jaspreet, et al.
Published: (2024)
by: Ranjit, Jaspreet, et al.
Published: (2024)
Adaptive Testing for LLM Evaluation: A Psychometric Alternative to Static Benchmarks
by: Li, Peiyu, et al.
Published: (2025)
by: Li, Peiyu, et al.
Published: (2025)
Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation
by: Tian, Yijun, et al.
Published: (2024)
by: Tian, Yijun, et al.
Published: (2024)
Agent-based Modeling meets the Capability Approach for Human Development: Simulating Homelessness Policy-making
by: Aguilera, Alba, et al.
Published: (2025)
by: Aguilera, Alba, et al.
Published: (2025)
Separator Injection Attack: Uncovering Dialogue Biases in Large Language Models Caused by Role Separators
by: Li, Xitao, et al.
Published: (2025)
by: Li, Xitao, et al.
Published: (2025)
Digital Skin, Digital Bias: Uncovering Tone-Based Biases in LLMs and Emoji Embeddings
by: Li, Mingchen, et al.
Published: (2026)
by: Li, Mingchen, et al.
Published: (2026)
Class-Aware Contrastive Optimization for Imbalanced Text Classification
by: Khvatskii, Grigorii, et al.
Published: (2024)
by: Khvatskii, Grigorii, et al.
Published: (2024)
LatentPrompt: Optimizing Promts in Latent Space
by: Bystroński, Mateusz, et al.
Published: (2025)
by: Bystroński, Mateusz, et al.
Published: (2025)
Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing
by: Duan, Yuying, et al.
Published: (2024)
by: Duan, Yuying, et al.
Published: (2024)
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
by: Ye, Jiayi, et al.
Published: (2024)
by: Ye, Jiayi, et al.
Published: (2024)
Uncovering Branch specialization in InceptionV1 using k sparse autoencoders
by: Bozoukov, Matthew
Published: (2025)
by: Bozoukov, Matthew
Published: (2025)
This Land is {Your, My} Land: Evaluating Geopolitical Biases in Language Models
by: Li, Bryan, et al.
Published: (2023)
by: Li, Bryan, et al.
Published: (2023)
The crime of being poor
by: Curto, Georgina, et al.
Published: (2023)
by: Curto, Georgina, et al.
Published: (2023)
Your Students Don't Use LLMs Like You Wish They Did
by: Kobler, Sebastian, et al.
Published: (2026)
by: Kobler, Sebastian, et al.
Published: (2026)
Breaking Language Barriers: Equitable Performance in Multilingual Language Models
by: Nagar, Tanay, et al.
Published: (2025)
by: Nagar, Tanay, et al.
Published: (2025)
ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation
by: Li, Peiyu, et al.
Published: (2024)
by: Li, Peiyu, et al.
Published: (2024)
Demo: Statistically Significant Results On Biases and Errors of LLMs Do Not Guarantee Generalizable Results
by: Liu, Jonathan, et al.
Published: (2025)
by: Liu, Jonathan, et al.
Published: (2025)
Autonomous AI Bird Feeder for Backyard Biodiversity Monitoring
by: Mansouri, El Mustapha
Published: (2025)
by: Mansouri, El Mustapha
Published: (2025)
Leveraging Multimodal LLMs for Built Environment and Housing Attribute Assessment from Street-View Imagery
by: Yao, Siyuan, et al.
Published: (2026)
by: Yao, Siyuan, et al.
Published: (2026)
SMOTExT: SMOTE meets Large Language Models
by: Bystroński, Mateusz, et al.
Published: (2025)
by: Bystroński, Mateusz, et al.
Published: (2025)
AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration - Learning from Cheap, Optimizing Expensive
by: Guo, Taicheng, et al.
Published: (2026)
by: Guo, Taicheng, et al.
Published: (2026)
AI4CAREER: Responsible AI for STEM Career Development at Scale in K-16 Education
by: Chawla, Sugana, et al.
Published: (2026)
by: Chawla, Sugana, et al.
Published: (2026)
Dynamic Noise Preference Optimization: Self-Improvement of Large Language Models with Self-Synthetic Data
by: Yang, Haoyan, et al.
Published: (2025)
by: Yang, Haoyan, et al.
Published: (2025)
Uncovering Biases with Reflective Large Language Models
by: Chang, Edward Y.
Published: (2024)
by: Chang, Edward Y.
Published: (2024)
NOOUGAT: Towards Unified Online and Offline Multi-Object Tracking
by: Missaoui, Benjamin, et al.
Published: (2025)
by: Missaoui, Benjamin, et al.
Published: (2025)
An Art-centric perspective on AI-based content moderation of nudity
by: Riccio, Piera, et al.
Published: (2024)
by: Riccio, Piera, et al.
Published: (2024)
Tackling Social Bias against the Poor: A Dataset and Taxonomy on Aporophobia
by: Curto, Georgina, et al.
Published: (2025)
by: Curto, Georgina, et al.
Published: (2025)
Extracting Conceptual Spaces from LLMs Using Prototype Embeddings
by: Kumar, Nitesh, et al.
Published: (2025)
by: Kumar, Nitesh, et al.
Published: (2025)
Similar Items
-
KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenance
by: Ai, Kuangshi, et al.
Published: (2025) -
AgentDrug: Utilizing Large Language Models in An Agentic Workflow for Zero-Shot Molecular Editing
by: Le, Khiem, et al.
Published: (2024) -
Not in My Backyard! Temporal Voting Over Public Chores
by: Elkind, Edith, et al.
Published: (2025) -
Faster Results from a Smarter Schedule: Reframing Collegiate Cross Country through Analysis of the National Running Club Database
by: Karr Jr, Jonathan A., et al.
Published: (2025) -
Can we Soft Prompt LLMs for Graph Learning Tasks?
by: Liu, Zheyuan, et al.
Published: (2024)