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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 177
A failure of Imagination: VLMs fail to use visual representations for text, but self-distillation can help
Vision-language (VL) models are typically built by fine-tuning a language model to attend to visual features in service of a Visual Question-Answering objective.P(Yes): 15$\times$ Improvements via Test-Time Scaling of Decision Models
Decision models answer typed questions, such as multiple-choice or yes/no questions, with a probability for each option.Multimodal-Conditioned Latent Diffusion Models for Spatiotemporal Brain MRI Forecasting
Spatiotemporal forecasting of 3D anatomical changes is a critical generative vision challenge for modeling Alzheimer's Disease (AD) progression.PRIMA: Pose Refined Inductive Motion Adapter for Zero Shot Social Bodily Behavior Recognition
Recognizing fine-grained bodily behaviors, such as self-grooming, postural shifts, and backchanneling, is a useful intermediate step for computational social signal analysis.From Proposal to Execution: Modeling Interaction Semantics in Shared Autonomy
In many human-AI systems, candidate actions are not executed directly but are first evaluated by another decision-making entity under a potentially different objective or decision model.Assessing the AI Readiness of Construction Datasets: A Multidimensional Operational Framework
The rapid growth of artificial intelligence (AI) applications in construction has increased the demand for datasets suitable for reliable model development, evaluation, and reuse.Formal Raising: Embedding Verifiable Ethical Properties into the Development of AI
Alan Turing proposed constructing a ``child machine'' and educating it rather than directly programming an adult-like intelligent machine.Dynamics-Aligned Representation Learning under Induced Partial Observability
Model-based reinforcement learning (MBRL) has enabled sample-efficient learning of continuous control policies from high-dimensional observations through learned latent dynamics models.When Interpretations Persist: Downstream Influence in Gaze-Aware Assistants
AI assistants may carry forward not only observations but also interpretations of what a person is doing or may do next across time.Bud ContextCompact 2.0: Context Compaction for Agent Success and Accuracy with Small Language Models and Constrained Context Windows
Agents that work for many turns outgrow the context window of the model that serves them, and on small language models (SLMs) and constrained inference systems that window is small.ATEST: Adaptive Resource-Aware Test-Time Scaling for LLM Inference
Test-time scaling (TTS) improves large language model (LLM) reasoning by sampling multiple answers, but fixed sampling budgets ignore both query difficulty and the changing energy cost of inference…When Empathy Misses the Goal: A Benchmark for Goal Displacement in LLM Advice
Conversational large language models can respond with warmth and reassurance while failing to advance the user's stated goal.StopLoss: Teaching Agents to Predict Failure and Stop Early
Coding agents keep working on runs that will fail verification, and asking a frontier model to watch for this is expensive in its own right.From Clinical Risk Prediction to Operational Decisions: An Uncertainty-Aware Framework for ICU Staffing
Advances in electronic health records (EHR) and large-scale critical care databases have enabled the development of machine learning models for the early detection of patient deterioration.Modaliff: A Unified Token Diffusion Model for Any-to-Any Generation
Any-to-any generation seeks a single model that translates flexibly among text, image, and audio, yet existing approaches either require fully aligned multimodal tuples or a shared representation…Residential Construction Image Dataset Using CSI Divisions for Deep Learning-based Object Detection
Accurate recognition of construction site elements is essential for the application of deep learning (DL) in the construction industry.Auditing Tool Traces in Agentic LLMs: Source Localization and Counterfactual Dependence Testing
Agentic LLMs increasingly support scientific prediction by grounding decisions in external evidence.Editing as Language: Teaching LLM Agents a Grammar for Native Context Editing
A synopsis in novels folds a story into a few lines; a function in code gathers many steps with a single execution.Symbolic Constraint Agents: Mining Formal Tool-Call Constraints to Prevent Agent Errors
Symbolic constraints (programmatic, deterministic checks for tool calls) enable deterministic verification of LLM agents' tool calls, but existing approaches primarily enforce predefined safety…Narrow Decision Models: A System-1 Architecture for Calibrated, Typed Decisions
System One models, introduced with TypeSafe's Jev, answer typed questions about a state with calibrated probabilities instead of generated text: choosing among options described in natural language…