Latent-Autoregressive GP-VAE Language Model
Fuente:
arXiv
Saved in:
| Main Author: | Ruffenach, Yves |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ProactBench: Beyond What The User Asked For
by: Harfi, Sepehr, et al.
Published: (2026)
by: Harfi, Sepehr, et al.
Published: (2026)
Benchmarking Catastrophic Forgetting Mitigation Methods in Federated Time Series Forecasting
by: Hallak, Khaled, et al.
Published: (2025)
by: Hallak, Khaled, et al.
Published: (2025)
A Hybrid Framework for Real-Time Data Drift and Anomaly Identification Using Hierarchical Temporal Memory and Statistical Tests
by: Bandyopadhyay, Subhadip, et al.
Published: (2025)
by: Bandyopadhyay, Subhadip, et al.
Published: (2025)
Complex-Valued Phase-Coherent Transformer
by: Hioki, Leona
Published: (2026)
by: Hioki, Leona
Published: (2026)
When Does Content-Based Routing Work? Representation Requirements for Selective Attention in Hybrid Sequence Models
by: Basu, Abhinaba
Published: (2026)
by: Basu, Abhinaba
Published: (2026)
SAGE: Sign-Adaptive Gradient for Memory-Efficient LLM Optimization
by: Lee, Wooin, et al.
Published: (2026)
by: Lee, Wooin, et al.
Published: (2026)
MAcPNN: Mutual Assisted Learning on Data Streams with Temporal Dependence
by: Giannini, Federico, et al.
Published: (2026)
by: Giannini, Federico, et al.
Published: (2026)
ICE: Intervention-Consistent Explanation Evaluation with Statistical Grounding for LLMs
by: Basu, Abhinaba, et al.
Published: (2026)
by: Basu, Abhinaba, et al.
Published: (2026)
Jacobian-Velocity Bounds for Deployment Risk Under Covariate Drift
by: Landers, Jonathan R.
Published: (2026)
by: Landers, Jonathan R.
Published: (2026)
How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models
by: Borobia, Hector, et al.
Published: (2026)
by: Borobia, Hector, et al.
Published: (2026)
SCOPE: Selective Conformal Optimized Pairwise LLM Judging
by: Badshah, Sher, et al.
Published: (2026)
by: Badshah, Sher, et al.
Published: (2026)
Geometric Evolution Maps: Extracting Stable Concept Probes from Transformer Residual Streams
by: Henry, James
Published: (2026)
by: Henry, James
Published: (2026)
Enhancing Ultra-Low-Bit Quantization of Large Language Models Through Saliency-Aware Partial Retraining
by: Cao, Deyu, et al.
Published: (2025)
by: Cao, Deyu, et al.
Published: (2025)
VORT: Adaptive Power-Law Memory for NLP Transformers
by: Mlaiki, Nabil
Published: (2026)
by: Mlaiki, Nabil
Published: (2026)
Neural Tucker Convolutional Network for Water Quality Analysis
by: Si, Hongnan, et al.
Published: (2025)
by: Si, Hongnan, et al.
Published: (2025)
Conformal Path Reasoning: Trustworthy Knowledge Graph Question Answering via Path-Level Calibration
by: Lin, Shuhang, et al.
Published: (2026)
by: Lin, Shuhang, et al.
Published: (2026)
NeuronSpark: A Spiking Neural Network Language Model with Selective State Space Dynamics
by: Tang, Zhengzheng
Published: (2026)
by: Tang, Zhengzheng
Published: (2026)
Robust Probabilistic Load Forecasting for a Single Household: A Comparative Study from SARIMA to Transformers on the REFIT Dataset
by: Manoj, Midhun
Published: (2025)
by: Manoj, Midhun
Published: (2025)
Latent Object Permanence: Topological Phase Transitions, Free-Energy Principles, and Renormalization Group Flows in Deep Transformer Manifolds
by: Alpay, Faruk, et al.
Published: (2026)
by: Alpay, Faruk, et al.
Published: (2026)
Non-Asymptotic Convergence of Discrete Diffusion Models: Masked and Random Walk dynamics
by: Conforti, Giovanni, et al.
Published: (2025)
by: Conforti, Giovanni, et al.
Published: (2025)
Measuring Alignment-Induced Activation Shifts Correctly: A Template-Controlled Difference-in-Differences Protocol
by: Nakamura, Yuki
Published: (2026)
by: Nakamura, Yuki
Published: (2026)
Correcting Stochastic Update Bias in Preconditioned Language Model Optimizers
by: Nayak, Nikhil, et al.
Published: (2026)
by: Nayak, Nikhil, et al.
Published: (2026)
Revisiting Unbiased Implicit Variational Inference
by: Pielok, Tobias, et al.
Published: (2025)
by: Pielok, Tobias, et al.
Published: (2025)
Mechanistic Analysis of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
by: Imanov, Olaf Yunus Laitinen
Published: (2026)
by: Imanov, Olaf Yunus Laitinen
Published: (2026)
The Concept Allocation Zone: Tracking How Concepts Form Across Transformer Depth
by: Henry, James
Published: (2026)
by: Henry, James
Published: (2026)
A Practical Guide to Streaming Continual Learning
by: Cossu, Andrea, et al.
Published: (2026)
by: Cossu, Andrea, et al.
Published: (2026)
Don't Look Back in Anger: MAGIC Net for Streaming Continual Learning with Temporal Dependence
by: Giannini, Federico, et al.
Published: (2026)
by: Giannini, Federico, et al.
Published: (2026)
cPNN: Continuous Progressive Neural Networks for Evolving Streaming Time Series
by: Giannini, Federico, et al.
Published: (2026)
by: Giannini, Federico, et al.
Published: (2026)
Strategic Doctrine Language Models (sdLM): A Learning-System Framework for Doctrinal Consistency and Geopolitical Forecasting
by: Imanov, Olaf Yunus Laitinen, et al.
Published: (2026)
by: Imanov, Olaf Yunus Laitinen, et al.
Published: (2026)
PatchFormer: A Patch-Based Time Series Foundation Model with Hierarchical Masked Reconstruction and Cross-Domain Transfer Learning for Zero-Shot Multi-Horizon Forecasting
by: Imanov, Olaf Yunus Laitinen, et al.
Published: (2026)
by: Imanov, Olaf Yunus Laitinen, et al.
Published: (2026)
Geometric-Stochastic Multimodal Deep Learning for Predictive Modeling of SUDEP and Stroke Vulnerability
by: Girish, Preksha, et al.
Published: (2025)
by: Girish, Preksha, et al.
Published: (2025)
Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
by: Wibbeke, Jelke, et al.
Published: (2025)
by: Wibbeke, Jelke, et al.
Published: (2025)
SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
Seeking SOTA: Time-Series Forecasting Must Adopt Taxonomy-Specific Evaluation to Dispel Illusory Gains
by: Saqur, Raeid, et al.
Published: (2026)
by: Saqur, Raeid, et al.
Published: (2026)
Distribution-Free Uncertainty Quantification for Continuous AI Agent Evaluation
by: Gao, Yuxuan, et al.
Published: (2026)
by: Gao, Yuxuan, et al.
Published: (2026)
Linguistic Collapse: Neural Collapse in (Large) Language Models
by: Wu, Robert, et al.
Published: (2024)
by: Wu, Robert, et al.
Published: (2024)
Optimized Gradient Clipping for Noisy Label Learning
by: Ye, Xichen, et al.
Published: (2024)
by: Ye, Xichen, et al.
Published: (2024)
Understanding Reinforcement Learning for Model Training, and future directions with GRAPE
by: Patel, Rohit
Published: (2025)
by: Patel, Rohit
Published: (2025)
When Are Two RLHF Objectives the Same?
by: Gaikwad, Madhava
Published: (2025)
by: Gaikwad, Madhava
Published: (2025)
Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models
by: Fu, Tianyu, et al.
Published: (2025)
by: Fu, Tianyu, et al.
Published: (2025)
Similar Items
-
ProactBench: Beyond What The User Asked For
by: Harfi, Sepehr, et al.
Published: (2026) -
Benchmarking Catastrophic Forgetting Mitigation Methods in Federated Time Series Forecasting
by: Hallak, Khaled, et al.
Published: (2025) -
A Hybrid Framework for Real-Time Data Drift and Anomaly Identification Using Hierarchical Temporal Memory and Statistical Tests
by: Bandyopadhyay, Subhadip, et al.
Published: (2025) -
Complex-Valued Phase-Coherent Transformer
by: Hioki, Leona
Published: (2026) -
When Does Content-Based Routing Work? Representation Requirements for Selective Attention in Hybrid Sequence Models
by: Basu, Abhinaba
Published: (2026)