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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 175
TIRE: Top-Down Formula Instantiation with Reliable Execution for Physics Problem Synthesis
Advancing physics reasoning in large language models requires scalable training data that connect physical laws, concrete problem scenarios, and verifiable numerical answers.Reflection-Guided Dynamics Rectification for Text-to-Image Generation
Fine-grained rectification of existing generations under a limited additional budget remains a key problem in test-time optimization (TTO) for image generation.Spectral Adaptive Graph Transformer for Efficient and Scalable Traffic Forecasting
Traffic forecasting models based on spectral graph convolution offer an interpretable account of how information is mixed between sensors, but they rely on an eigendecomposition of the graph…PLANE: Plug-and-Play Fine-Grained Visual Experts for Hallucination Mitigation in Large Vision-Language Models
Large Vision-Language Models (LVLMs) commonly suffer from hallucinations, which appear as fabricating non-existent objects or outputting incorrect attributes and spatial relationships in images.Learning without Overwriting: Structural Knowledge Fusion for Continual Learning
Catastrophic forgetting in sequential deep learning arises from a fixed-capacity architectural constraint: parameter updates encoding new tasks perturb weight subspaces supporting prior…M-JEPA: Predictive Self-Supervised Learning for Molecular Graphs with Scaffold-Shift Evaluation on Tox21
Self-supervised molecular representation learning is increasingly used to improve transfer on small, label-limited property prediction tasks, yet commonly used contrastive objectives can be…World Models, Trees and Foundation Models for Retail Forecasting: Evidence from Four Public Data Sets
A retailer makes different decisions at different grains of the product, store and time hierarchy: store orders for an item in a store, supplier funding for an item across stores, category…Memory, Know Your PLACE: Governing Lifecycle State and Query-Time Eligibility in Persistent-Memory Agents
Persistent memory turns prior interactions into durable agent state, but existing systems provide limited control over whether that state remains valid and whether it should influence a later query.Dialogue Generation for Conversational Recommendation Using User Search Interactions and Knowledge Graphs
Large-scale conversational recommendation datasets typically require manual dialogue construction or annotation.Reranking Answers of Large Language Models with Knowledge Graphs
Answering natural language questions over knowledge graph data is challenging due to the vast number of facts, which can be difficult to process and navigate.ViCoR: Estimating Visual Necessity via Counterfactual Residuals for Multimodal Medical Data Selection
Medical vision-language models often exhibit hidden stratification, where high overall performance masks failures on subtle visual findings and overlapping clinical conditions.BrandEval: A Two-Track Multi-Agent Benchmark for Risk-Sensitive LLM Crisis Communication
Evaluating LLMs for crisis communication requires more than judging isolated responses, because public feedback and competitor actions can reshape trust over time.NeuroAct: Advancing EEG Analysis and Decoding via Dual-Loop Autonomous Research
EEG analysis and decoding underpin brain-computer interfaces, cognitive assessment, and sleep monitoring.Calibration-Free Early Stopping for Chain-of-Thought Reasoning via E-processes
Reasoning large language models (LLMs) benefit from test-time scaling, motivating adaptive policies that spend tokens when they help and stop early otherwise.Assessing the Empirical Evidence for Loss of Control from Agentic General-Purpose AI
Theoretical literature warns that advanced generalist agentic systems might pursue instrumental goals that are misaligned with human preferences, thus posing risks of irreversible loss of human…BatchParScale: Sparse Batch-Mixing for Sequence Models
Recent test-time scaling methods improve model performance by increasing inference-time compute.EG-GRPO: Evidence-Guided Step-level Credit Assignment for Deep Search Agents
LLM-based search agents demonstrate strong capabilities in long-horizon information seeking and reasoning, typically trained via reinforcement learning.Bridging Concepts: Multi-Agent Reasoning over Scientific Concept Graphs for High-Impact Research Prediction
Within a research community, new topics often emerge when previously unconnected concepts are first studied together.Vision as Proprioception: Estimating Humanoid Robot Pose from Video
Estimating a humanoid robot's internal state from video has a wide range of real-world applications but remains unexplored.World Model Interpretability: From Decoding Representations to Understanding Latent Worlds
Emerging Joint-Embedding Predictive Architectures (JEPAs) are moving beyond representation learning towards latent world models that support prediction, planning, and control.