Copertina

Identifying two piecewise linear additive value functions from anonymous preference information

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Auriau, Vincent, Belahcene, Khaled, Malherbe, Emmanuel, Mousseau, Vincent, Pirlot, Marc
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Learned Hallucination Detection in Black-Box LLMs using Token-level Entropy Production Rate
di: Moslonka, Charles, et al.
Pubblicazione: (2025)

Social preferences with unstable interactive reasoning: Large language models in economic trust games
di: Jiamin, Ou, et al.
Pubblicazione: (2025)

On the Identifiability of Quantized Factors
di: Barin-Pacela, Vitória, et al.
Pubblicazione: (2023)

A density estimation perspective on learning from pairwise human preferences
di: Dumoulin, Vincent, et al.
Pubblicazione: (2023)

BERT-as-a-Judge: A Robust Alternative to Lexical Methods for Efficient Reference-Based LLM Evaluation
di: Gisserot-Boukhlef, Hippolyte, et al.
Pubblicazione: (2026)

Why should we ever automate moral decision making?
di: Conitzer, Vincent
Pubblicazione: (2024)

InterPol: De-anonymizing LM Arena via Interpolated Preference Learning
di: Cho, Minsung, et al.
Pubblicazione: (2026)

Identifying treatment response subgroups in observational time-to-event data
di: Jeanselme, Vincent, et al.
Pubblicazione: (2024)

Representation of preferences for multiple criteria decision aiding in a new seven-valued logic
di: Greco, Salvatore, et al.
Pubblicazione: (2024)

A Flexible Multi-Agent LLM-Human Framework for Fast Human Validated Tool Building
di: Xavier, Daull, et al.
Pubblicazione: (2025)

Perceptual implications of automatic anonymization in pathological speech
di: Arasteh, Soroosh Tayebi, et al.
Pubblicazione: (2025)

Model Routing as a Trust Problem: Route Receipts for Adaptive AI Systems
di: Schmalbach, Vincent
Pubblicazione: (2026)

Shutdown Safety Valves for Advanced AI
di: Conitzer, Vincent
Pubblicazione: (2026)

Temporary AI Personality
di: Boudraa, Khaled
Pubblicazione: (2025)

The Prompt Canvas: A Literature-Based Practitioner Guide for Creating Effective Prompts in Large Language Models
di: Hewing, Michael, et al.
Pubblicazione: (2024)

Tango*: Constrained synthesis planning using chemically informed value functions
di: Armstrong, Daniel, et al.
Pubblicazione: (2024)

Pruning Boolean d-DNNF Circuits Through Tseitin-Awareness
di: Derkinderen, Vincent
Pubblicazione: (2024)

QUARTZ : QA-based Unsupervised Abstractive Refinement for Task-oriented Dialogue Summarization
di: Ghebriout, Mohamed Imed Eddine, et al.
Pubblicazione: (2025)

There must be encapsulated nonconceptual content in vision
di: Müller, Vincent C.
Pubblicazione: (2025)

Deep opacity and AI: A threat to XAI and to privacy protection mechanisms
di: Müller, Vincent C.
Pubblicazione: (2025)

Which symbol grounding problem should we try to solve?
di: Müller, Vincent C.
Pubblicazione: (2025)

A Quantum Model for Constrained Markowitz Modern Portfolio Using Slack Variables to Process Mixed-Binary Optimization under QAOA
di: Thomassin, Pablo, et al.
Pubblicazione: (2025)

Einleitung [Introduction]
di: Müller, Vincent C.
Pubblicazione: (2025)

Procedural Knowledge Improves Agentic LLM Workflows
di: Hsiao, Vincent, et al.
Pubblicazione: (2025)

PepTriX: A Framework for Explainable Peptide Analysis through Protein Language Models
di: Schilling, Vincent, et al.
Pubblicazione: (2025)

Observer-Aware Probabilistic Planning Under Partial Observability
di: Lepers, Salomé, et al.
Pubblicazione: (2025)

Aligning Probabilistic Beliefs under Informative Missingness: LLM Steerability in Clinical Reasoning
di: Kobayashi, Yuta, et al.
Pubblicazione: (2025)

AllSummedUp: un framework open-source pour comparer les metriques d'evaluation de resume
di: Herserant, Tanguy, et al.
Pubblicazione: (2025)

SEval-Ex: A Statement-Level Framework for Explainable Summarization Evaluation
di: Herserant, Tanguy, et al.
Pubblicazione: (2025)

An incremental preference elicitation-based approach to learning potentially non-monotonic preferences in multi-criteria sorting
di: Li, Zhuolin, et al.
Pubblicazione: (2024)

Validating Generative Agent-Based Models for Logistics and Supply Chain Management Research
di: Castillo, Vincent E.
Pubblicazione: (2025)

Is there a future for AI without representation?
di: Müller, Vincent C.
Pubblicazione: (2025)

Artificial Intelligence for EEG Prediction: Applied Chaos Theory
di: Jorgsson, Vincent
Pubblicazione: (2023)

Capturing waste collection planning expert knowledge in a fitness function through preference learning
di: Díaz, Laura Fernández, et al.
Pubblicazione: (2024)

Novel RL approach for efficient Elevator Group Control Systems
di: Vaartjes, Nathan, et al.
Pubblicazione: (2025)

Future progress in artificial intelligence: A survey of expert opinion
di: Müller, Vincent C., et al.
Pubblicazione: (2025)

Enhancing Obsolescence Forecasting with Deep Generative Data Augmentation: A Semi-Supervised Framework for Low-Data Industrial Applications
di: Saad, Elie, et al.
Pubblicazione: (2025)

Target speaker anonymization in multi-speaker recordings
di: Tomashenko, Natalia, et al.
Pubblicazione: (2025)

Adversarial bandit optimization for approximately linear functions
di: Cheng, Zhuoyu, et al.
Pubblicazione: (2025)

How to Exhibit More Predictable Behaviors
di: Lepers, Salomé, et al.
Pubblicazione: (2024)