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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 51
Reading Between the Chapters: A Graph-Free RAG Rebuilt With AI and Human Feedback
Many questions about a book can only be answered by connecting passages chapters apart, such as a cough heard three times across a horse's life.Old Is Not False: Valid-Time Memory for Interactive Video World Models
Interactive video world models draw each frame from a memory bank of earlier frames stamped with their capture times.HiPaper: A Human-AI Collaborative System for Academic Literature Triage and Scholarly Sensemaking
Scholarly sensemaking requires researchers to iteratively retrieve, collect, and synthesize literature as their understanding evolves.Designing Informative Actions: Action Construction for Long-Horizon Research Agents
Large language model agents support automated scientific research by connecting literature analysis and planning with experimentation.Decision-Centric Research: A Calibrated Decision Model and Benchmark for Scientific Agents
Scientific agents make consequential choices about evidence, next actions and research strategy, but choices embedded in generated text are difficult to evaluate independently.Who Schedules Agent Memory? A Sidecar Approach to Long-Horizon Tasks
As large language model agents increasingly undertake complex, long-horizon tasks, memory has become an important component for supporting sustained decision-making and action.One Offset, Two Directions: Baseline Adjustment via Subgroup Offsets
Group Relative Policy Optimization (GRPO) estimates advantages against the within-prompt mean reward, a baseline shared across the group.A Tool in the Forward Pass: Frozen Tape Modules as Layers of a Small Language Model
Calling a tool through generated text adds decoding steps, even when the computation itself is short.PhoneValue-Bench: A Multimodal Benchmark and Datasets for Consumer Smartphone Recommerce Valuation
As consumer smartphone recommerce scales, buyers must quote binding repurchase prices from seller-uploaded multi-view photos and diagnostic screenshots before devices reach the warehouse.BridgeDock: Taming Generative Co-Folding Prior for Molecular Docking with Diffusion Bridge
Molecular docking aims to predict the three-dimensional structure of a protein-ligand complex; in the conventional structure-based setting, it is conditioned on an input protein structure and…A Discrete-Time Variational Objective for Degenerate Diffusion and Equivalence to Flow Matching
Diffusion models and more recently Flow models have widespread application.Agent4FreeFem: A Verification-Guided Framework for Autonomous Topology Optimization
Topology optimization has become an indispensable design tool in the aerospace, automotive, and mechanical engineering industries.AI Data Analysis: A New Approach - Multi-engine Joint State Data Analysis
AI data analysis today is three fragmented worlds: LLMs understand semantics but cannot compute; BI aggregates precisely but is stateless; ML processes large-scale data on a stateful kernel but…VCoT-SQL: Enhancing Text-to-SQL Generation through Dual Chain-of-Thought Validation Training
Open-source LLMs provide a flexible alternative to closed-source models for Text-to-SQL but still struggle with complex queries.AdKnob: Ad Intensity Control and Labeling for LLM-Native Advertising
Large language model (LLM)-native advertising has emerged as a viable monetization channel as LLM service providers seek sustainable revenue streams.Can Agentic AI Undermine Its Own Assurance Loop? Closed-Loop Dependency Assurance for Cognitive Network Digital Twins
Agentic Artificial Intelligence (AI) and Network Digital Twins (NDTs) are increasingly combined to form Cognitive Digital Twins (CDTs) that translate operational intents into network changes and…ShiftRAG: Bypassing the Textual Bottleneck via Decoupled Learning and Continuous Soft Tokens
Despite advances in retrieval-augmented generation (RAG), suppressing hallucinations during complex reasoning remains a persistent challenge.Microphone Geometry Aware Regional Target Speaker Extraction
Regional target speaker extraction (RSE) aims to extract speech originating from a specified angular region, relaxing the requirement for precise target speaker location when performing location…Benchmarking Machine-Learning Classifiers for Neoantigen Immunogenicity Prediction and the Limits of SHAP Interpretability
Personalized cancer vaccines require prioritizing, among hundreds of candidate mutant peptides, the few that will induce a T-cell response.Clockwork: Scheduling Compound AI Systems in Space Data Centers
Space data centers built on LEO constellations create an opportunity to serve Compound AI workflows close to where observations are captured.