:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Ge, Luise, Zhang, Yongyan, Vorobeychik, Yevgeniy
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2602.15173
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Optimized Distortion in Linear Social Choice
por: Ge, Luise, et al.
Publicado: (2025)

Linear Social Choice with Few Queries: A Moment-Based Approach
por: Ge, Luise, et al.
Publicado: (2026)

Learning Linear Utility Functions From Pairwise Comparison Queries
por: Ge, Luise, et al.
Publicado: (2024)

Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks
por: Ge, Luise, et al.
Publicado: (2025)

CoFineLLM: Conformal Finetuning of LLMs for Language-Instructed Robot Planning
por: Wang, Jun, et al.
Publicado: (2025)

Verified Safe Reinforcement Learning for Neural Network Dynamic Models
por: Wu, Junlin, et al.
Publicado: (2024)

Adversarial Reinforcement Learning for Detecting False Data Injection Attacks in Vehicular Routing
por: Eghtesad, Taha, et al.
Publicado: (2026)

Online Feedback Efficient Active Target Discovery in Partially Observable Environments
por: Sarkar, Anindya, et al.
Publicado: (2025)

Protecting Language Models Against Unauthorized Distillation through Trace Rewriting
por: Ma, Xinhang, et al.
Publicado: (2026)

Axioms for AI Alignment from Human Feedback
por: Ge, Luise, et al.
Publicado: (2024)

Conformal Reachability for Safe Control in Unknown Environments
por: Ma, Xinhang, et al.
Publicado: (2026)

Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks
por: Eghtesad, Taha, et al.
Publicado: (2023)

Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning
por: Lanier, Michael, et al.
Publicado: (2024)

Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
por: Ma, Xinhang, et al.
Publicado: (2025)

Conformal Temporal Logic Planning using Large Language Models
por: Wang, Jun, et al.
Publicado: (2023)

DiffVAS: Diffusion-Guided Visual Active Search in Partially Observable Environments
por: Sarkar, Anindya, et al.
Publicado: (2026)

Preference Poisoning Attacks on Reward Model Learning
por: Wu, Junlin, et al.
Publicado: (2024)

GOMAA-Geo: GOal Modality Agnostic Active Geo-localization
por: Sarkar, Anindya, et al.
Publicado: (2024)

Learned Neighbor Trust for Collaborative Deployment in Model-Agnostic Decentralized Learning
por: Lanier, Michael, et al.
Publicado: (2026)

RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models
por: Wang, Jiongxiao, et al.
Publicado: (2023)

Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages
por: Biswas, Shreyan, et al.
Publicado: (2025)

AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs
por: Liu, Xiaogeng, et al.
Publicado: (2024)

COSMOS: Model-Agnostic Personalized Federated Learning with Clustered Server Models and Pseudo-Label-Only Communication
por: Rachmut, Ben, et al.
Publicado: (2026)

Mind the Gap: The Divergence Between Human and LLM-Generated Tasks
por: Lu, Yi-Long, et al.
Publicado: (2025)

Mind the Gap Between Spatial Reasoning and Acting! Step-by-Step Evaluation of Agents With Spatial-Gym
por: Kaesberg, Lars Benedikt, et al.
Publicado: (2026)

Active Geospatial Search for Efficient Tenant Eviction Outreach
por: Sarkar, Anindya, et al.
Publicado: (2024)

Mind the (Belief) Gap: Group Identity in the World of LLMs
por: Borah, Angana, et al.
Publicado: (2025)

Mind The Gap: Quantifying Mechanistic Gaps in Algorithmic Reasoning via Neural Compilation
por: Saldyt, Lucas, et al.
Publicado: (2025)

Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice
por: Zhu, Jian-Qiao, et al.
Publicado: (2024)

MindGap: A Conversational AI Framework for Upstream Neuroplastic Intervention in Post-Traumatic Stress Disorder
por: Bandara, Eranga, et al.
Publicado: (2026)

Mind the Data Gap: Bridging LLMs to Enterprise Data Integration
por: Kayali, Moe, et al.
Publicado: (2024)

Sliced Rényi Pufferfish Privacy: Directional Additive Noise Mechanism and Private Learning with Gradient Clipping
por: Zhang, Tao, et al.
Publicado: (2025)

Residual-PAC Privacy: Automatic Privacy Control Beyond the Gaussian Barrier
por: Zhang, Tao, et al.
Publicado: (2025)

Mind the Gap: Bridging the Divide Between AI Aspirations and the Reality of Autonomous Characterization
por: Guinan, Grace, et al.
Publicado: (2025)

A Scalable Approach to Solving Simulation-Based Network Security Games
por: Lanier, Michael, et al.
Publicado: (2026)

CyGym: A Simulation-Based Game-Theoretic Analysis Framework for Cybersecurity
por: Lanier, Michael, et al.
Publicado: (2025)

Positive and Risky Message Assessment for Music Products
por: Zhang, Yigeng, et al.
Publicado: (2023)

InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles
por: Li, Zizhen, et al.
Publicado: (2025)

Mind the Value-Action Gap: Do LLMs Act in Alignment with Their Values?
por: Shen, Hua, et al.
Publicado: (2025)

MultiMind: Enhancing Werewolf Agents with Multimodal Reasoning and Theory of Mind
por: Zhang, Zheng, et al.
Publicado: (2025)