Empathy and the Right to Be an Exception: What LLMs Can and Cannot Do
Fuente:
arXiv
Saved in:
| Main Authors: | Kidder, William, D'Cruz, Jason, Varshney, Kush R. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Task-Driven Human-AI Collaboration: When to Automate, When to Collaborate, When to Challenge
by: Afroogh, Saleh, et al.
Published: (2025)
by: Afroogh, Saleh, et al.
Published: (2025)
Scopes of Alignment
by: Varshney, Kush R., et al.
Published: (2025)
by: Varshney, Kush R., et al.
Published: (2025)
Decolonial AI Alignment: Openness, Viśe\d{s}a-Dharma, and Including Excluded Knowledges
by: Varshney, Kush R.
Published: (2023)
by: Varshney, Kush R.
Published: (2023)
Are LLMs Court-Ready? Evaluating Frontier Models on Indian Legal Reasoning
by: Juvekar, Kush, et al.
Published: (2025)
by: Juvekar, Kush, et al.
Published: (2025)
An Annotated Reading of 'The Singer of Tales' in the LLM Era
by: Varshney, Kush R.
Published: (2025)
by: Varshney, Kush R.
Published: (2025)
When Trust is Zero Sum: Automation Threat to Epistemic Agency
by: Malone, Emmie, et al.
Published: (2024)
by: Malone, Emmie, et al.
Published: (2024)
GPT-4V Cannot Generate Radiology Reports Yet
by: Jiang, Yuyang, et al.
Published: (2024)
by: Jiang, Yuyang, et al.
Published: (2024)
Empathy Is Not What Changed: Clinical Assessment of Psychological Safety Across GPT Model Generations
by: Keeman, Michael, et al.
Published: (2026)
by: Keeman, Michael, et al.
Published: (2026)
Can LLMs Evaluate What They Cannot Annotate? Revisiting LLM Reliability in Hate Speech Detection
by: Piot, Paloma, et al.
Published: (2025)
by: Piot, Paloma, et al.
Published: (2025)
Should LLMs be WEIRD? Exploring WEIRDness and Human Rights in Large Language Models
by: Zhou, Ke, et al.
Published: (2025)
by: Zhou, Ke, et al.
Published: (2025)
What Is The Political Content in LLMs' Pre- and Post-Training Data?
by: Ceron, Tanise, et al.
Published: (2025)
by: Ceron, Tanise, et al.
Published: (2025)
Can LLMs make trade-offs involving stipulated pain and pleasure states?
by: Keeling, Geoff, et al.
Published: (2024)
by: Keeling, Geoff, et al.
Published: (2024)
What Do LLMs Associate with Your Name? A Human-Centered Black-Box Audit of Personal Data
by: Staufer, Dimitri, et al.
Published: (2026)
by: Staufer, Dimitri, et al.
Published: (2026)
What About the Scene with the Hitler Reference? HAUNT: A Framework to Probe LLMs' Self-consistency Via Adversarial Nudge
by: Dutta, Arka, et al.
Published: (2025)
by: Dutta, Arka, et al.
Published: (2025)
Can LLMs Think Like Consumers? Benchmarking Crowd-Level Reaction Reconstruction with ConsumerSimBench
by: Wang, Tianyu, et al.
Published: (2026)
by: Wang, Tianyu, et al.
Published: (2026)
Ask LLMs Directly, "What shapes your bias?": Measuring Social Bias in Large Language Models
by: Shin, Jisu, et al.
Published: (2024)
by: Shin, Jisu, et al.
Published: (2024)
Can LLMs Estimate Student Struggles? Human-AI Difficulty Alignment with Proficiency Simulation for Item Difficulty Prediction
by: Li, Ming, et al.
Published: (2025)
by: Li, Ming, et al.
Published: (2025)
Guided Persona-based AI Surveys: Can we replicate personal mobility preferences at scale using LLMs?
by: Tzachristas, Ioannis, et al.
Published: (2025)
by: Tzachristas, Ioannis, et al.
Published: (2025)
neuralFOMO: Can LLMs Handle Being Second Best? Measuring Envy-Like Preferences in Multi-Agent Settings
by: Ramamoorthy, Arnav, et al.
Published: (2025)
by: Ramamoorthy, Arnav, et al.
Published: (2025)
Societal Alignment Frameworks Can Improve LLM Alignment
by: Stańczak, Karolina, et al.
Published: (2025)
by: Stańczak, Karolina, et al.
Published: (2025)
Open Source Language Models Can Provide Feedback: Evaluating LLMs' Ability to Help Students Using GPT-4-As-A-Judge
by: Koutcheme, Charles, et al.
Published: (2024)
by: Koutcheme, Charles, et al.
Published: (2024)
Meta-Cultural Competence: Climbing the Right Hill of Cultural Awareness
by: Saha, Sougata, et al.
Published: (2025)
by: Saha, Sougata, et al.
Published: (2025)
Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions
by: Zhang, Dawen, et al.
Published: (2023)
by: Zhang, Dawen, et al.
Published: (2023)
Many LLMs Are More Utilitarian Than One
by: Keshmirian, Anita, et al.
Published: (2025)
by: Keshmirian, Anita, et al.
Published: (2025)
Assessing the Performance of Human-Capable LLMs -- Are LLMs Coming for Your Job?
by: Mavi, John, et al.
Published: (2024)
by: Mavi, John, et al.
Published: (2024)
Measuring What Matters -- or What's Convenient?: Robustness of LLM-Based Scoring Systems to Construct-Irrelevant Factors
by: Walsh, Cole, et al.
Published: (2026)
by: Walsh, Cole, et al.
Published: (2026)
Can "AI" Be a Doctor? A Study of Empathy, Readability, and Alignment in Clinical LLMs
by: Barone, Mariano, et al.
Published: (2026)
by: Barone, Mariano, et al.
Published: (2026)
The Political Preferences of LLMs
by: Rozado, David
Published: (2024)
by: Rozado, David
Published: (2024)
The simulation of judgment in LLMs
by: Loru, Edoardo, et al.
Published: (2025)
by: Loru, Edoardo, et al.
Published: (2025)
Measuring Teaching with LLMs
by: Hardy, Michael
Published: (2025)
by: Hardy, Michael
Published: (2025)
Can LLMs Write Faithfully? An Agent-Based Evaluation of LLM-generated Islamic Content
by: Mushtaq, Abdullah, et al.
Published: (2025)
by: Mushtaq, Abdullah, et al.
Published: (2025)
Can LLMs Infer Conversational Agent Users' Personality Traits from Chat History?
by: Cögendez, Derya, et al.
Published: (2026)
by: Cögendez, Derya, et al.
Published: (2026)
Do Chinese models speak Chinese languages?
by: Wen-Yi, Andrea W, et al.
Published: (2025)
by: Wen-Yi, Andrea W, et al.
Published: (2025)
Accommodation and Epistemic Vigilance: A Pragmatic Account of Why LLMs Fail to Challenge Harmful Beliefs
by: Cheng, Myra, et al.
Published: (2026)
by: Cheng, Myra, et al.
Published: (2026)
Why are all LLMs Obsessed with Japanese Culture? On the Hidden Cultural and Regional Biases of LLMs
by: de Landa, Joseba Fernandez, et al.
Published: (2026)
by: de Landa, Joseba Fernandez, et al.
Published: (2026)
Moral Mazes in the Era of LLMs
by: Nguyen, Dang, et al.
Published: (2026)
by: Nguyen, Dang, et al.
Published: (2026)
Are LLMs (Really) Ideological? An IRT-based Analysis and Alignment Tool for Perceived Socio-Economic Bias in LLMs
by: Wachter, Jasmin, et al.
Published: (2025)
by: Wachter, Jasmin, et al.
Published: (2025)
Interpretability Framework for LLMs in Undergraduate Calculus
by: Dakshit, Sagnik, et al.
Published: (2025)
by: Dakshit, Sagnik, et al.
Published: (2025)
What can large language models do for sustainable food?
by: Thomas, Anna T., et al.
Published: (2025)
by: Thomas, Anna T., et al.
Published: (2025)
Do Large Language Models Get Caught in Hofstadter-Mobius Loops?
by: Hryszko, Jaroslaw
Published: (2026)
by: Hryszko, Jaroslaw
Published: (2026)
Similar Items
-
A Task-Driven Human-AI Collaboration: When to Automate, When to Collaborate, When to Challenge
by: Afroogh, Saleh, et al.
Published: (2025) -
Scopes of Alignment
by: Varshney, Kush R., et al.
Published: (2025) -
Decolonial AI Alignment: Openness, Viśe\d{s}a-Dharma, and Including Excluded Knowledges
by: Varshney, Kush R.
Published: (2023) -
Are LLMs Court-Ready? Evaluating Frontier Models on Indian Legal Reasoning
by: Juvekar, Kush, et al.
Published: (2025) -
An Annotated Reading of 'The Singer of Tales' in the LLM Era
by: Varshney, Kush R.
Published: (2025)