The Burden of Interactive Alignment with Inconsistent Preferences
Fuente:
arXiv
Saved in:
| Main Author: | Shirali, Ali |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context
by: Jia, Jingru, et al.
Published: (2024)
by: Jia, Jingru, et al.
Published: (2024)
The Economics of AI Supply Chain Regulation
by: Qian, Sihan, et al.
Published: (2026)
by: Qian, Sihan, et al.
Published: (2026)
Reputational Algorithm Aversion
by: Weitzner, Gregory
Published: (2024)
by: Weitzner, Gregory
Published: (2024)
Allocation Requires Prediction Only if Inequality Is Low
by: Shirali, Ali, et al.
Published: (2024)
by: Shirali, Ali, et al.
Published: (2024)
The Hidden Cost of Waiting for Accurate Predictions
by: Shirali, Ali, et al.
Published: (2025)
by: Shirali, Ali, et al.
Published: (2025)
Preference Learning with Response Time: Robust Losses and Guarantees
by: Sawarni, Ayush, et al.
Published: (2025)
by: Sawarni, Ayush, et al.
Published: (2025)
Jackpot! Alignment as a Maximal Lottery
by: Maura-Rivero, Roberto-Rafael, et al.
Published: (2025)
by: Maura-Rivero, Roberto-Rafael, et al.
Published: (2025)
Persuasion, Delegation, and Private Information in Algorithm-Assisted Decisions
by: Xu, Ruqing
Published: (2024)
by: Xu, Ruqing
Published: (2024)
Discrete, recurrent, and scalable patterns in human judgement underlie affective picture ratings
by: Azcona, Emanuel A., et al.
Published: (2022)
by: Azcona, Emanuel A., et al.
Published: (2022)
Autonomy by Design: Preserving Human Autonomy in AI Decision-Support
by: Buijsman, Stefan, et al.
Published: (2025)
by: Buijsman, Stefan, et al.
Published: (2025)
A Bayesian Framework for Human-AI Collaboration: Complementarity and Correlation Neglect
by: Amin, Saurabh, et al.
Published: (2026)
by: Amin, Saurabh, et al.
Published: (2026)
Structural Reinforcement Learning for Heterogeneous Agent Macroeconomics
by: Yang, Yucheng, et al.
Published: (2025)
by: Yang, Yucheng, et al.
Published: (2025)
Prospect-Theory Behavior from Bellman Optimality in MDPs with Catastrophic States
by: Chen, Yujiao
Published: (2026)
by: Chen, Yujiao
Published: (2026)
A Revealed Preference Framework for AI Alignment
by: Suleymanov, Elchin
Published: (2026)
by: Suleymanov, Elchin
Published: (2026)
How much does context affect the accuracy of AI health advice?
by: Garg, Prashant, et al.
Published: (2025)
by: Garg, Prashant, et al.
Published: (2025)
Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision Support
by: Haag, Felix, et al.
Published: (2024)
by: Haag, Felix, et al.
Published: (2024)
Algorithmic Assistance with Recommendation-Dependent Preferences
by: McLaughlin, Bryce, et al.
Published: (2022)
by: McLaughlin, Bryce, et al.
Published: (2022)
Response Time Enhances Alignment with Heterogeneous Preferences
by: Echenique, Federico, et al.
Published: (2026)
by: Echenique, Federico, et al.
Published: (2026)
Human-AI Interactions and Societal Pitfalls
by: Castro, Francisco, et al.
Published: (2023)
by: Castro, Francisco, et al.
Published: (2023)
Scaling Laws for Economic Productivity: Experimental Evidence in LLM-Assisted Consulting, Data Analyst, and Management Tasks
by: Merali, Ali
Published: (2025)
by: Merali, Ali
Published: (2025)
Optimal Use of Preferences in Artificial Intelligence Algorithms
by: Gans, Joshua S.
Published: (2026)
by: Gans, Joshua S.
Published: (2026)
Vibrotactile Preference Learning: Uncertainty-Aware Preference Learning for Personalized Vibration Feedback
by: Zhang, Rongtao, et al.
Published: (2026)
by: Zhang, Rongtao, et al.
Published: (2026)
Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation
by: Dennler, Nathaniel, et al.
Published: (2025)
by: Dennler, Nathaniel, et al.
Published: (2025)
The Pseudo-Dimension of Contracts
by: Duetting, Paul, et al.
Published: (2025)
by: Duetting, Paul, et al.
Published: (2025)
Fraud-Proof Revenue Division on Subscription Platforms
by: Ghosh, Abheek, et al.
Published: (2025)
by: Ghosh, Abheek, et al.
Published: (2025)
Persuasive Calibration
by: Feng, Yiding, et al.
Published: (2025)
by: Feng, Yiding, et al.
Published: (2025)
Efficient Inverse Multiagent Learning
by: Goktas, Denizalp, et al.
Published: (2025)
by: Goktas, Denizalp, et al.
Published: (2025)
Generalized Principal-Agent Problem with a Learning Agent
by: Lin, Tao, et al.
Published: (2024)
by: Lin, Tao, et al.
Published: (2024)
Are Bounded Contracts Learnable and Approximately Optimal?
by: Chen, Yurong, et al.
Published: (2024)
by: Chen, Yurong, et al.
Published: (2024)
Contractual Reinforcement Learning: Pulling Arms with Invisible Hands
by: Wu, Jibang, et al.
Published: (2024)
by: Wu, Jibang, et al.
Published: (2024)
Contracting with a Learning Agent
by: Guruganesh, Guru, et al.
Published: (2024)
by: Guruganesh, Guru, et al.
Published: (2024)
No Screening is More Efficient with Multiple Objects
by: Noda, Shunya, et al.
Published: (2024)
by: Noda, Shunya, et al.
Published: (2024)
Paid with Models: Optimal Contract Design for Collaborative Machine Learning
by: Wang, Bingchen, et al.
Published: (2024)
by: Wang, Bingchen, et al.
Published: (2024)
Human strategic decision making in parametrized games
by: Ganzfried, Sam
Published: (2021)
by: Ganzfried, Sam
Published: (2021)
Calibeating Made Simple
by: Chen, Yurong, et al.
Published: (2026)
by: Chen, Yurong, et al.
Published: (2026)
A New Lower Bound for the Random Offerer Mechanism in Bilateral Trade using AI-Guided Evolutionary Search
by: Cai, Yang, et al.
Published: (2026)
by: Cai, Yang, et al.
Published: (2026)
Investigating Thematic Patterns and User Preferences in LLM Interactions using BERTopic
by: Bhandarkar, Abhay, et al.
Published: (2025)
by: Bhandarkar, Abhay, et al.
Published: (2025)
Integrating Transparent Models, LLMs, and Practitioner-in-the-Loop: A Case of Nonprofit Program Evaluation
by: Ma, Ji, et al.
Published: (2025)
by: Ma, Ji, et al.
Published: (2025)
Influencing Humans to Conform to Preference Models for RLHF
by: Hatgis-Kessell, Stephane, et al.
Published: (2025)
by: Hatgis-Kessell, Stephane, et al.
Published: (2025)
A General Framework for Estimating Preferences Using Response Time Data
by: Echenique, Federico, et al.
Published: (2025)
by: Echenique, Federico, et al.
Published: (2025)
Similar Items
-
Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context
by: Jia, Jingru, et al.
Published: (2024) -
The Economics of AI Supply Chain Regulation
by: Qian, Sihan, et al.
Published: (2026) -
Reputational Algorithm Aversion
by: Weitzner, Gregory
Published: (2024) -
Allocation Requires Prediction Only if Inequality Is Low
by: Shirali, Ali, et al.
Published: (2024) -
The Hidden Cost of Waiting for Accurate Predictions
by: Shirali, Ali, et al.
Published: (2025)