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The newest 5,000 papers, from 12 October 2026 to 5 November 2026: 5,000 arXiv preprints.
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Newest papers, page 44
Follow the Features: SAE Feature-Guided Data-Efficient Instruction-Tuning of Large Language Models
Selecting small, effective instruction-tuning datasets requires identifying which aspects of the original data to retain.State-Augmented Learning for Post-Deployment Adaptation of Coexisting O-RAN Applications
Fixed control policies in Open RAN can require retraining when service requirements, traffic loads, or interacting applications change.Information-Theoretic Design of Sparse Autoencoder-Based Steering
Sparse autoencoder (SAE)-based activation steering is a lightweight approach for modifying the behavior of large language models (LLMs) by adding small vectors to hidden states during inference.Toward Executable Multi-framework Front-end Code Generation with Self-Correction
Generating codes from UI screenshots has recently benefited from MLLMs, yet existing methods centered on HTML targets and transfer poorly to multi-frameworks such as React, Vue, and Angular.Benign population landscapes do not transfer to empirical risk minimization in nonsmooth optimization
Benign landscapes provide a geometric explanation for the success of iterative methods on nonconvex problems arising in data science.Same Path, Less Time: Training-Free Fast Execution of Vision-Language-Action Models under Inference Latency
Vision-language-action (VLA) models predict chunks of future actions, yet deployed robots waste time in two ways that are independent of model capability: they halt while the next chunk is inferred…ERIA: An Instruction-Optimized Agent for Clinical EEG Reporting
Clinical EEG interpretation requires integrating technical quality, background and behavioral states, interictal and ictal abnormalities, and overall clinical context across long recordings.Sensitivity Inflation from Cross-Record Precision Routing in Private Quantized Fine-Tuning
Private fine-tuning of large language models increasingly pairs DP-SGD with low-rank adapters on frozen, quantized backbones, and every such stack inherits one unstated premise: frozen layers keep…Uncertainty-Aware Joint Generative Modeling of Fault Event Sequences and Sensor Time Series in Solar PV Plants
This paper presents a multimodal generative model designed to simulate a solar energy plant system for predictive maintenance and fault prediction.FlyWheel: Attention Kernels Built for the TPU
Attention kernels on Tensor Processing Units (TPUs) often underutilize their matrix units (MXUs) because of repeated matrix operand loads, vector-intensive computation, and dependencies that leave…Towards Fine-grained and Robust Detection of Human-AI Co-authorship
The widespread adoption of large language models (LLMs) is reshaping how textual content is produced, complicating text provenance, and raising concerns for misinformation, plagiarism, and…When Should an Agent Refresh? Adaptive Index Reuse for Efficient Long-Horizon Reasoning
Language agents read code, tool output, and dialogue in contexts that grow at every step.Polynomial-Time Minimax Prediction for Stationary Renewal Processes
The minimax next-symbol Kullback-Leibler risk for stationary binary renewal processes is known to have order n^(-1/2).I-PTC: Interactive Programmatic Tool Calling for Stateful Tool-Augmented Agents
Large language models are increasingly capable of writing and executing code, suggesting a natural paradigm for tool-augmented agents: expressing tool use as programs rather than isolated calls.Correctness and Predictive Uncertainty in Bayesian TSK Fuzzy Regression: A Reproducible Evaluation on Tabular and Building-Meter Data
Uncertainty estimates from fuzzy regression are informative only when the implementation is correct and the comparison protocol makes the sources of variation visible.CipherFlow: Compiling AI Programs for Efficient Cryptographically Secure Inference
Cryptographically secure inference faces two practical challenges: making secure programming accessible to AI developers and data scientists, and achieving efficient execution across deployment…Can Large Language Model Agents Learn by Watching Tutorial Videos?
Humans continuously acquire knowledge from carefully crafted materials such as books and tutorial videos, carrying that understanding into future tasks.Causal Optimal-Transport Attention: Positional Priors and Length Extrapolation
Causal masking obstructs the column balancing used by optimal-transport (OT) attention.A Surrogate Model for Variation-Aware Clock-Mesh Analysis and Design-Space Exploration using Graph Neural Networks
Clock meshes are widely used in high-performance VLSI systems to minimize skew and tolerate On-Chip Variation (OCV) in nanometer technologies.TopoSteer: Topological Layer Selection for Activation Steering in LLMs
Activation steering controls large language models at inference time by adding a vector to their internal representations.