:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Ruffenach, Yves
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2604.12513
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Variational Neurons in Transformers for Language Modeling
by: Ruffenach, Yves
Published: (2026)

Variational Distributional Neuron
by: Ruffenach, Yves
Published: (2026)

Exploring the Dimensions of a Variational Neuron
by: Ruffenach, Yves
Published: (2026)

Autoregressivity in the Latent Space of a GP-VAE Language Model: An Empirical Ablation Study
by: Ruffenach, Yves
Published: (2025)

Latent-Autoregressive GP-VAE Language Model
by: Ruffenach, Yves
Published: (2025)

CPT: Controllable and Editable Design Variations with Language Models
by: Suresh, Karthik, et al.
Published: (2026)

AVO: Agentic Variation Operators for Autonomous Evolutionary Search
by: Chen, Terry, et al.
Published: (2026)

Control Variate Score Matching for Diffusion Models
by: Kahouli, Khaled, et al.
Published: (2025)

Geometric Dynamics of Agentic Loops in Large Language Models
by: Tacheny, Nicolas
Published: (2025)

Agentic Large Language Models, a survey
by: Plaat, Aske, et al.
Published: (2025)

Variational Reasoning for Language Models
by: Zhou, Xiangxin, et al.
Published: (2025)

The Mosaic Memory of Large Language Models
by: Shilov, Igor, et al.
Published: (2024)

Agentic Framework for Epidemiological Modeling
by: Datta, Rituparna, et al.
Published: (2026)

Linear Gradient Prediction with Control Variates
by: Ciosek, Kamil, et al.
Published: (2025)

TinyLLM: Evaluation and Optimization of Small Language Models for Agentic Tasks on Edge Devices
by: Haque, Mohd Ariful, et al.
Published: (2025)

Agentic Fusion of Large Atomic and Language Models to Accelerate Superconductor Discovery
by: Li, Mingze, et al.
Published: (2026)

Variational Language Concepts for Interpreting Foundation Language Models
by: Wang, Hengyi, et al.
Published: (2024)

Pathwise Gradient Variance Reduction with Control Variates in Variational Inference
by: Ng, Kenyon, et al.
Published: (2024)

Stabilizing Estimates of Shapley Values with Control Variates
by: Goldwasser, Jeremy, et al.
Published: (2023)

Geometric Integration for Neural Control Variates
by: Meister, Daniel, et al.
Published: (2025)

Variational Control for Guidance in Diffusion Models
by: Pandey, Kushagra, et al.
Published: (2025)

Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models
by: Jin, Ruofan, et al.
Published: (2026)

Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment
by: Cai, Yuang, et al.
Published: (2024)

Behavior Knowledge Merge in Reinforced Agentic Models
by: Yuan, Xiangchi, et al.
Published: (2026)

Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
by: Carta, Thomas, et al.
Published: (2023)

Stochastic Multi-Armed Bandits with Limited Control Variates
by: Verma, Arun, et al.
Published: (2026)

Tiny-Critic RAG: Empowering Agentic Fallback with Parameter-Efficient Small Language Models
by: Wu, Yichao, et al.
Published: (2026)

Agentic Proposing: Enhancing Large Language Model Reasoning via Compositional Skill Synthesis
by: Jiao, Zhengbo, et al.
Published: (2026)

Semantic Probabilistic Control of Language Models
by: Ahmed, Kareem, et al.
Published: (2025)

Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
by: Zhang, Qizheng, et al.
Published: (2025)

EARL: Efficient Agentic Reinforcement Learning Systems for Large Language Models
by: Tan, Zheyue, et al.
Published: (2025)

CHAL: Council of Hierarchical Agentic Language
by: Giovannelli, Tommaso, et al.
Published: (2026)

GSM-Agent: Understanding Agentic Reasoning Using Controllable Environments
by: Zhu, Hanlin, et al.
Published: (2025)

Variational Schrödinger Diffusion Models
by: Deng, Wei, et al.
Published: (2024)

Do Audio-Language Models Understand Linguistic Variations?
by: Selvakumar, Ramaneswaran, et al.
Published: (2024)

Transport meets Variational Inference: Controlled Monte Carlo Diffusions
by: Vargas, Francisco, et al.
Published: (2023)

PhyloLM : Inferring the Phylogeny of Large Language Models and Predicting their Performances in Benchmarks
by: Yax, Nicolas, et al.
Published: (2024)

Budget-Constrained Agentic Large Language Models: Intention-Based Planning for Costly Tool Use
by: Liu, Hanbing, et al.
Published: (2026)

Agentic AI-Based Joint Computing and Networking via Mixture of Experts and Large Language Models
by: Reifert, Robert-Jeron, et al.
Published: (2026)

Small Language Models for Agentic Systems: A Survey of Architectures, Capabilities, and Deployment Trade offs
by: Sharma, Raghav, et al.
Published: (2025)