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Artificial Intelligence
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The newest 5,000 papers, from 11 October 2026 to 5 November 2026: 4,998 arXiv preprints and 2 OpenAlex records.
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Newest papers, page 121
StarRTT: An End-to-End Real-Time Framework for Blind Zone-Free RTT Prediction in Starlink LEO Satellite Networks
Low Earth Orbit (LEO) satellite mega-constellations such as Starlink require frequent handovers due to high orbital velocities, resulting in substantial Round-Trip Time (RTT) fluctuations.Beyond Channel Data: Configuration-Enriched Radio Foundation Models
This paper proposes incorporating channel configuration (CFG) information into Radio Foundation Model (RFM) pre-training and demonstrates that the resulting CFG-enriched embeddings serve as…Tool-Calling LLM Agents Under Realistic MCP Faults: Scale Does Not Purchase Fault Tolerance
LLM agents increasingly rely on external tools exposed via the Model Context Protocol (MCP), yet current benchmarks assume tools respond correctly and on time, leaving agent resilience to realistic…LLaCO: Continuous Diffusion for Large Language Models with Competition-Aware Semantic Scheduling
Continuous diffusion models have emerged as a promising non-autoregressive paradigm for text generation over continuous embedding spaces.What Transfers Across Protein Pockets? Experience Reuse in Molecular Optimization for Agentic Structure-Based Drug Design
LLM agents optimize a ligand in a protein pocket by editing it step by step and docking each edit.LGMT: A Tool for Testing the Logical Reasoning Reliability of LLMs
Large Language Models (LLMs) increasingly serve as reasoning components in modern software systems, yet a model that answers a logical query correctly can contradict itself when the same problem is…Interpretable Singing Emotion Recognition Using Acoustic and Vocal Technique Features
Singing emotion recognition relies predominantly on deep learning models that achieve strong performance but offer limited insight into the vocal characteristics driving emotion, of- ten overlooking…EditJev: System One Routing for Image Editing Models
Instruction-based image editing models exhibit pronounced sample-specific performance variation: different models can produce substantially different results for the same source image and editing…Can AI Agents Help Robotic Engineers? Lessons from Two Focus Days in Industry
Software developers increasingly use AI agents that execute multi-step programming tasks on their own.InferSlice: A Reference Architecture for SLO-driven LLM Inference over a Telco Wide-Area Network
LLM inference is increasingly deployed as a core service for enterprise and interactive applications, but sovereignty, compliance, latency and resource-locality requirements can limit the…WiMoT: Replay-Free Continual Wi-Fi Sensing via Moment Transport
Continual Wi-Fi sensing must balance plasticity, learning new rooms or users, against stability, keeping earlier ones, yet nodes often cannot retain channel state information (CSI) for privacy and…SemGeo-Gen: Unsupervised Generation of Approximate Cross-Instance Semantic-Geometric Correspondences
We introduce SemGeo-Gen, an unsupervised method for generating approximate cross-instance semantic-geometric supervision from weakly aligned 3D object collections.Do Language Models Trust Their Own Justifications? A Study on Functional Consistency
Large Language Models (LLMs) have been widely adopted in text classification tasks, where they not only output class predictions but also generate explanations that highlight the tokens deemed most…Retiming Robot Demonstrations with a Learned Speed Prior
The pace of a robot demonstration is often determined by the teleoperator rather than by the task itself.Conditional Neural Processes for Self-Supervised Goal Discovery in Action Imitation
Inspired by infants' ability to learn novel tasks by imitating others, in this work we evaluate to what extent Conditional Neural Processes can autonomously learn representations of actions that are…SP-Guide: Enhancing Aerial Vision-Language Navigation with Spatial Priors
Aerial vision-language navigation (AVLN) requires a UAV to reach a language-described target from partial egocentric observations while reasoning over large outdoor scenes.Ontology-Guided Knowledge Graph Construction from Structured Metadata and Climate Science Publications
The rapid expansion of scientific literature far outpaces the speed of manual curation, creating a fundamental bottleneck in extracting structured knowledge from scientific texts.PlayerEmbed: Learning Behavioral Fingerprint Representations from Raw Input Sequences
Raw player input sequences in video games contain fine-grained behavior, but are high-dimensional and noisy, which makes large-scale analytics challenging.Internal Discrepancy for Contrastive Learning: Generalization Bounds and Downstream Behaviors
Contrastive learning has emerged as a popular paradigm for training representation models.Agentic Hazard Mapper: Emulating Expert Map-Making with AI Agents for Risk Communication
Hazard maps are essential tools for public risk communication, preparedness, and evacuation planning, yet effective cartographic design is not always ensured due to limited access to cartographic…