Should I Have Expressed a Different Intent? Counterfactual Generation for LLM-Based Autonomous Control
Fuente:
arXiv
Saved in:
| Main Authors: | Farzaneh, Amirmohammad, D'Oro, Salvatore, Simeone, Osvaldo |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Synthetic Counterfactual Labels for Efficient Conformal Counterfactual Inference
by: Farzaneh, Amirmohammad, et al.
Published: (2025)
by: Farzaneh, Amirmohammad, et al.
Published: (2025)
Post-Selection Distributional Model Evaluation
by: Farzaneh, Amirmohammad, et al.
Published: (2026)
by: Farzaneh, Amirmohammad, et al.
Published: (2026)
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs
by: Farzaneh, Amirmohammad, et al.
Published: (2025)
by: Farzaneh, Amirmohammad, et al.
Published: (2025)
Statistically Valid Information Bottleneck via Multiple Hypothesis Testing
by: Farzaneh, Amirmohammad, et al.
Published: (2024)
by: Farzaneh, Amirmohammad, et al.
Published: (2024)
Context-Aware Online Conformal Anomaly Detection with Prediction-Powered Data Acquisition
by: Farzaneh, Amirmohammad, et al.
Published: (2025)
by: Farzaneh, Amirmohammad, et al.
Published: (2025)
Ensuring Reliability via Hyperparameter Selection: Review and Advances
by: Farzaneh, Amirmohammad, et al.
Published: (2025)
by: Farzaneh, Amirmohammad, et al.
Published: (2025)
Quantile Learn-Then-Test: Quantile-Based Risk Control for Hyperparameter Optimization
by: Farzaneh, Amirmohammad, et al.
Published: (2024)
by: Farzaneh, Amirmohammad, et al.
Published: (2024)
AgentRAN: An Agentic AI Architecture for Autonomous Control of Open 6G Networks
by: Elkael, Maxime, et al.
Published: (2025)
by: Elkael, Maxime, et al.
Published: (2025)
Optimized Certainty Equivalent Risk-Controlling Prediction Sets
by: Huang, Jiayi, et al.
Published: (2026)
by: Huang, Jiayi, et al.
Published: (2026)
Beyond Connectivity: An Open Architecture for AI-RAN Convergence in 6G
by: Polese, Michele, et al.
Published: (2025)
by: Polese, Michele, et al.
Published: (2025)
Localized Adaptive Risk Control
by: Zecchin, Matteo, et al.
Published: (2024)
by: Zecchin, Matteo, et al.
Published: (2024)
LibIQ: Toward Real-Time Spectrum Classification in O-RAN dApps
by: Olimpieri, Filippo, et al.
Published: (2025)
by: Olimpieri, Filippo, et al.
Published: (2025)
On AI Verification in Open RAN
by: Soundrarajan, Rahul, et al.
Published: (2025)
by: Soundrarajan, Rahul, et al.
Published: (2025)
Towards General-Purpose Model-Free Reinforcement Learning
by: Fujimoto, Scott, et al.
Published: (2025)
by: Fujimoto, Scott, et al.
Published: (2025)
ADEPTS: A Capability Framework for Human-Centered Agent Design
by: D'Oro, Pierluca, et al.
Published: (2025)
by: D'Oro, Pierluca, et al.
Published: (2025)
LLMs Should Express Uncertainty Explicitly
by: Guo, Junyu, et al.
Published: (2026)
by: Guo, Junyu, et al.
Published: (2026)
Express Your Doubts -- Probabilistic World Modeling Should not be Based on Token logprobs
by: Wagner, Eitan, et al.
Published: (2025)
by: Wagner, Eitan, et al.
Published: (2025)
Uncertainty Quantification and Data Efficiency in AI: An Information-Theoretic Perspective
by: Simeone, Osvaldo, et al.
Published: (2025)
by: Simeone, Osvaldo, et al.
Published: (2025)
Do Transformer World Models Give Better Policy Gradients?
by: Ma, Michel, et al.
Published: (2024)
by: Ma, Michel, et al.
Published: (2024)
In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models
by: Zecchin, Matteo, et al.
Published: (2023)
by: Zecchin, Matteo, et al.
Published: (2023)
Generalization and Informativeness of Weighted Conformal Risk Control Under Covariate Shift
by: Zecchin, Matteo, et al.
Published: (2025)
by: Zecchin, Matteo, et al.
Published: (2025)
Turbo-ICL: In-Context Learning-Based Turbo Equalization
by: Song, Zihang, et al.
Published: (2025)
by: Song, Zihang, et al.
Published: (2025)
Controlling Multimodal LLMs via Reward-guided Decoding
by: Mañas, Oscar, et al.
Published: (2025)
by: Mañas, Oscar, et al.
Published: (2025)
Efficient Federated Conformal Prediction with Group-Conditional Guarantees
by: Wen, Haifeng, et al.
Published: (2026)
by: Wen, Haifeng, et al.
Published: (2026)
Distributed Conformal Prediction via Message Passing
by: Wen, Haifeng, et al.
Published: (2025)
by: Wen, Haifeng, et al.
Published: (2025)
Generalization and Informativeness of Conformal Prediction
by: Zecchin, Matteo, et al.
Published: (2024)
by: Zecchin, Matteo, et al.
Published: (2024)
SIA: Symbolic Interpretability for Anticipatory Deep Reinforcement Learning in Network Control
by: Jabbari, MohammadErfan, et al.
Published: (2026)
by: Jabbari, MohammadErfan, et al.
Published: (2026)
GENESIS: Harnessing AI Agents for Autonomous 6G RAN Synthesis, Research, and Testing
by: Aghayev, Tamerlan, et al.
Published: (2026)
by: Aghayev, Tamerlan, et al.
Published: (2026)
Hierarchical Behaviour Spaces
by: Matthews, Michael Tryfan, et al.
Published: (2026)
by: Matthews, Michael Tryfan, et al.
Published: (2026)
Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees
by: Park, Sangwoo, et al.
Published: (2025)
by: Park, Sangwoo, et al.
Published: (2025)
Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons
by: Dufort-Labbé, Simon, et al.
Published: (2024)
by: Dufort-Labbé, Simon, et al.
Published: (2024)
Know Your Intent: An Autonomous Multi-Perspective LLM Agent Framework for DeFi User Transaction Intent Mining
by: Mao, Qian'ang, et al.
Published: (2025)
by: Mao, Qian'ang, et al.
Published: (2025)
MARS: Margin and Semantic-Aware Data Augmentation for Reward Modeling
by: Bhattacharjee, Payel, et al.
Published: (2026)
by: Bhattacharjee, Payel, et al.
Published: (2026)
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
by: Huang, Jiayi, et al.
Published: (2024)
by: Huang, Jiayi, et al.
Published: (2024)
Fully Autonomous AI Agents Should Not be Developed
by: Mitchell, Margaret, et al.
Published: (2025)
by: Mitchell, Margaret, et al.
Published: (2025)
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
by: Zecchin, Matteo, et al.
Published: (2024)
by: Zecchin, Matteo, et al.
Published: (2024)
Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers with Reliability Guarantees
by: Chen, Jiechen, et al.
Published: (2023)
by: Chen, Jiechen, et al.
Published: (2023)
AI Agents Should be Regulated Based on the Extent of Their Autonomous Operations
by: Osogami, Takayuki
Published: (2025)
by: Osogami, Takayuki
Published: (2025)
Counterfactual Simulatability of LLM Explanations for Generation Tasks
by: Limpijankit, Marvin, et al.
Published: (2025)
by: Limpijankit, Marvin, et al.
Published: (2025)
LLM-Powered Intent-Based Categorization of Phishing Emails
by: Eilertsen, Even, et al.
Published: (2025)
by: Eilertsen, Even, et al.
Published: (2025)
Similar Items
-
Synthetic Counterfactual Labels for Efficient Conformal Counterfactual Inference
by: Farzaneh, Amirmohammad, et al.
Published: (2025) -
Post-Selection Distributional Model Evaluation
by: Farzaneh, Amirmohammad, et al.
Published: (2026) -
Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs
by: Farzaneh, Amirmohammad, et al.
Published: (2025) -
Statistically Valid Information Bottleneck via Multiple Hypothesis Testing
by: Farzaneh, Amirmohammad, et al.
Published: (2024) -
Context-Aware Online Conformal Anomaly Detection with Prediction-Powered Data Acquisition
by: Farzaneh, Amirmohammad, et al.
Published: (2025)