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Artificial Intelligence
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The newest 5,000 papers, from 11 October 2026 to 5 November 2026: 4,993 arXiv preprints and 7 OpenAlex records.
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Newest papers, page 19
IntentGEO: Intent-aware Generative Engine Optimization for Recommendation
Large language models (LLMs) increasingly shape recommendations across chatbots, e-commerce, and user-generated content (UGC) platforms, creating demand for Generative Engine Optimization (GEO) to…DiMuRe: Diagnosis-Guided Multilevel Recovery for Robotic Task Execution
Disturbances can invalidate the conditions required by a robot's next action even when much of its task program remains useful.DualWorldBench: Can Agents Plan Deliveries across Symbolic and Grounded Worlds?
Recent multimodal agents have shown promising progress in embodied planning and web interaction.Exact Optimality Certification of QPLIB 2096 through Complete Set Partitioning
We present an exact computational proof that the frozen QPLIB_2096 instance has global minimum 7,025,720.Constructing a Regional Slang Lexicon for Electricity Demands via Soft-Label Bidirectional Anchoring and Active Learning
Power-grid customer service increasingly relies on community social media, where customers describe outages, billing, and equipment faults in informal regional dialect.LIRA: A More Interpretable Dynamic Loss-Informed Rank Allocation for Low-Rank Adaptation
Low-rank adaptation (LoRA) has become a widely used parameter-efficient fine-tuning method for large pretrained models.AceAction-5M: Hierarchical Goals for Generalist Action Learning Across 3D Game Worlds
Video games provide a practical setting for collecting vision-language-action (VLA) data, whose acquisition in physical environments is costly.Navigating Runtime Dynamism in Semantic Query Serving
LLM-powered semantic queries increasingly combine relational processing with multiple LLM-based operators over unstructured data.OmniST: Topology-Invariant Spatiotemporal Forecasting with Guaranteed-Coverage Uncertainty at Unseen Sensor Locations
Standard spatiotemporal graph convolutional networks need a fixed-size adjacency matrix, coupling model weights to a specific sensor count N; they cannot produce any output at a sensor absent from…Neologism Inoculation Prompting
Inoculation prompting is a method to reduce undesired behaviours such as reward hacking in frontier models.Reliability Stress Testing of RAG Retrieval under Query-Relevant Corpus Poisoning
External text can affect a retrieval-augmented generation (RAG) system only after the retriever admits it to the model context.Harness-S: Learning from Sibling Harnesses for Generalizable Agent Training
Harness evolution from a common base exhibits Locality, Complementarity, and Nonstationarity: variants repair different failures, and their utility changes as the policy learns.Bidirectional Centered Score Matching for Discrete Diffusion Distillation
Discrete diffusion models with parallel decoding are often distilled using token-wise KL objectives.Predicting protein structures at any folding stage from sequence
Protein structure prediction has largely focused on native conformations, leaving the continuum of unfolded states, folding intermediates, and native structures difficult to access.When Debate Amplifies Risk: Social-Bias Vulnerabilities in Multi-Agent Safety Deliberation
Retrieval-augmented Web applications increasingly employ multi-agent debate (MAD) to aggregate conflicting, noisy, and heterogeneous information, yet deliberation is fundamentally a social process…Reciprocity Can Erase Direction:tructural Boundaries and Controlled Utility of Magnetic Graph Networks
Magnetic graph networks encode direction through phase, but a learned graph can erase the intended directional mechanism before prediction.SEAM: Situated Executable Associative Memory for a Co-located Community
In groups, knowledge is distributed among individuals, and how it is brought together depends on social ties.OSGR: Observation-Support Graph Reasoning for Earth Observation Question Answering
Answering geographic queries over Earth observation (EO) archives requires solving a joint retrieval-and-derivation problem under strict spatiotemporal constraints.FlowTranslator: Training-Free In-Image Machine Translation with Flow-Based Editing
In-image machine translation (IIMT) replaces text in an image with its translation while preserving the surrounding visual context.What Is the Influence of Task Order in Continual Learning? An Empirical Study and Order-Aware Evaluation for Motion Forecasting
Aggregate scores for continual learning algorithms rest on a distribution over task orders that is rarely stated.