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Artificial Intelligence
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The newest 5,000 papers, from 12 October 2026 to 6 November 2026: 4,992 arXiv preprints and 8 OpenAlex records.
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Newest papers, page 247
Embedding Geometry Shapes LLM Routing: Tracing Failure Modes and Improving Generalization
With the growing number of LLMs available, selecting which one to use for a prompt has become a key question.Finite-sample certification of coverage regret for budgeted document selection under adaptive stratified auditing
Selecting a budget-constrained set of documentary fragments, for instance the knowledge base of a retrieval-augmented generation system, raises a statistical question: how much expected query…Titan-Llama: Retrofitting Pre-trained LLMs with External Neural Memory Modules
Transformers are efficient to pre-train at scale because attention permits parallel computation across sequence positions, but long-context inference requires increasingly large KV caches.Generalizing Identifiability Results in Causal Discovery from Complete Data to Missing Data Settings
While causal discovery methods have matured for complete data, such algorithms for handling missing values remain limited.PREFER: From Player Experience to Personalized Game Refinement
Understanding how large language models (LLMs) evaluate gameplay experience is important for using their feedback to guide game design.Narrowing the Collaboration Gap, Probably
Large language models are increasingly deployed as teams of agents that hold different private information about a shared task.REPORT-OPS: Hybrid Evidence-Guided Reporting with Human-Supervised Refinement for HPC
Operational reporting for high-performance computing (HPC) facilities requires combining information from monitoring services, schedulers, incident and maintenance records, storage measurements…Definition Grounding in Theory-Level Auto-formalization
LLM-based auto-formalization systems can now generate formally verified Lean code at unprecedented rates.Agentic Self-Awareness: Aligning Knowing, Acting, and Holding
Frontier AI agents increasingly act in environments where seemingly solvable tasks may lack prerequisites, contain conflicting requirements, or reveal blockers only during execution.Do Syntax Heads Influence Model Behavior?
Transformer language models develop attention heads that specialize in syntactic relations, for example, attending from verbs to their subjects.Write Once, Plan Many: Building Reusable Visual Planning Systems from One Scene
Vision-language models (VLMs) can reason about visual planning tasks, but querying them for every instance incurs repeated inference cost and latency.Refined Topology-Pass Scheduling: Damped Trust-Region Compensation for Dynamic k-NN Graphs in SE(3)-Equivariant Structure Prediction
Equivariant structure-prediction pipelines alternate coordinate updates with the construction of a k-nearest-neighbour (kNN) graph whose membership is a discrete, piecewise-constant function of the…Copy-Paste Language Models
Transformers are intuitively considered to be efficient at copying from their inputs.MIND: Instruction-Conditioned Incremental Grounding for Robots
Robots following persistent language instructions must decide which cached room judgments remain valid as their environment changes.Beyond Maliciousness: Static and Runtime Attack-Surface Profiling of Agent Skills
Agent skills are Markdown documents that a tool-using agent reads as instructions and then acts on with the privileges of the session that loaded them.MemeTrace: A Multimodal LLM-Based Agent for Safety-Aware Meme Provenance Analysis
Online memes are often carriers of unsafe content such as disinformation and propaganda.Whose Data, Whose Benchmark? A User-Centric Framework for Auditing Evaluation Resources
Benchmarks shape how model capabilities are measured and interpreted, yet their scores can obscure whose conventions, contexts, and judgments define successful performance.Exploring Interpretability in Deep Learning-Based Forest Classification - Separating Similar Forest Classes using Sentinel-2 Time Series
The ecological insurance theory posits that diverse forests are more resilient and better able to adapt to changing environmental conditions.Dimension-Free Scaling Laws for Size Generalization: An Exponential Separation
Modern machine learning models increasingly operate on variable-size structured data, such as sets and graphs.Whose turn is it? Context-guided model routing for stateful agents
Model routing can reduce the cost of LLM applications by assigning simpler requests to cheaper models without sacrificing the quality of the response.