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Artificial Intelligence
The newest papers in Artificial Intelligence that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
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 42
An auditable agentic pipeline for variant-to-gene prioritisation, validated against orthogonal functional evidence
Assigning GWAS variants to causal genes requires evidence from multiple resources.DIMWIT: Directly Invoking Models Without Intensive Tuning
Resource managers typically encode what to do in a task-specific policy---a heuristic, an optimization procedure, or a model trained for the task---that must be developed before use and may need…See, Think, Use: Diagnosing Perception and Reasoning Failures in VLMs
We present See, Think, Use, a protocol that traces each answer of a vision-language model to perception, reasoning or the use of perception.Spectral-Convolutional Factorized Transformer for Joint Multipath Parameter Estimation: Applications to mmWave Positioning and Radio SLAM
Future 6G wireless networks are expected to evolve toward AI-native systems that support intelligent, environment-aware services, including positioning and mapping.Sweep Less, Steer More: Using Activation Steering Geometry for Reduced Hyperparameter Search
Representation steering methods like difference-in-means (DIM) offer a lightweight approach to controlling LLM behavior, but their effectiveness varies widely across concepts, datasets, and layers…FedUDG: Federated Domain Generalization with Unlabeled Clients
Federated domain generalization (FDG) aims to learn models that generalize reliably to out-of-distribution (OOD) environments without centralizing client's data.Improved Sample Complexity Analysis For First Order Bilevel Reinforcement Learning
Bilevel reinforcement learning optimizes an upper-level objective through the policy response to a lower-level reinforcement learning problem.AI-Aided and AI-Oriented Integrated Sensing, Communication, and Computation: A Survey
The evolution from 5G to 6G networks marks a transition toward the "intelligence of everything.From Tool State to Scientific Action: Auditing Decision Provenance in Biomedical Research Agents
A scientific agent can give the same verdict while reading and citing different evidence.GSExplorer: Interactive World Generation with a Persistent 3D Gaussian World State
Interactive world generation requires both accurate local control and stable scene consistency over long rollouts.Revisiting LLM Homogeneity Through a Multidimensional Lens
Concerns about LLM homogeneity are typically quantified with embedding similarity, which reduces two texts to a single score.TopoDPO: Dense Preference Alignment for Structure-Sensitive Aerial Referring Segmentation
Preference optimization for multimodal segmentation faces a granularity mismatch: dense masks contain spatially heterogeneous preference signals, whereas image-level objectives assign one shared…Generative Modeling with Continuous Flows: Sample Complexity of Flow Matching
Flow matching has emerged as a promising alternative to diffusion-based generative modeling, offering a continuous-time ordinary differential equation formulation with fast sampling and a simple…Finite-Time Online Sample Complexity for Conditional Diffusion Models
We study the finite-time training and sampling error of conditional diffusion models trained by online stochastic-gradient denoising score matching.\textsc{ChatDify}: Automating End-to-End Dify Workflow Synthesis from Natural Language via Multi-Agent Collaboration
The proliferation of Large Language Models has catalyzed powerful application development platforms like Dify, which enable users to build sophisticated LLM-powered workflows through modular node…Meta-memorization and memorization scaling laws in transformers
Larger transformers can memorize more data, with a capacity (in bits) that scales roughly linearly with the number of parameters.Principled Human-AI Collaboration in Agentic Workflows
Organizations adopting AI face the challenge of deciding which outputs can be released without human review while meeting the quality standards of human experts.Search-Aware On-Policy Self-Distillation with Sibling Alignment for Generative Recommendation
Generative recommendation retrieves items by autoregressively generating semantic IDs, typically via beam search.Impossible Code, Barely Changed Score: A Replay Study of Judge-Based Evaluation
Language models are often used to judge generated code without running it.Autoencoder Based Deep Clustering of Point Clouds
Motivated by a problem in Generative Specification-Producing AIs (SPAIs), we focus on a problem of deep clustering of three-dimensional shapes specified by point clouds.