AI & Machine Learning · Computer Science & AI
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: 4,993 arXiv preprints and 7 OpenAlex records.
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Newest papers, page 30
RecGroupMemory: Feedback-Aware Cohort Memory for E-Commerce Recommendation
Cohort memory can support LLM-based recommendation planning through group-level user profiles and advice.RLiD: Reinforcement Learning in the Decision Plane for Language Agents and LLMs
Reinforcement learning (RL) has improved the capabilities of large language models (LLMs) across a wide range of tasks.Multi-Teacher Reasoning Distillation for LLM Recommendation with Self-Exploration
Reasoning-augmented recommender systems (RecSys) enhance user preference modeling by generating reasoning trajectories over historical interactions before making recommendations.Think Globally, Generate Personally: Multi-View Thinking with Adaptive Generation for Generative Recommendation
Semantic-ID-based (SID) generative recommendation (GR) represents each item as a sequence of discrete tokens and predicts the next item through autoregressive SID generation.MAGAR: Multimodal Agents for GUI-Based 3D Mechanical Assembly and Minimal Rework
A GUI command can be correct at the interface level yet still produce an incorrect assembly.Chain on Demand: Deferred Evidence Organization for Long-Term Conversational Memory
Long-term conversational memory faces a timing mismatch: write-time summaries and graphs organize history before a future query is known, while independent retrieval can allocate a limited evidence…Benchmark of THReD: Evaluating an LLM Agent and Its Preprocessing Tools for Turning Electronic Health Records into AI-Ready Datasets
LLM agents are increasingly built into data-analysis software, yet little evidence shows how reliably they preprocess clinical data or whether the tools they invoke give correct, reproducible output.RecRSI: Mechanism-Guided Discovery of Recommendation Algorithms
Improving recommendation algorithms for the Web requires coordinating interacting design choices and learning from experiments.Cross-Domain Joint-Embedding Pretraining For Heterogeneous Industrial Time Series
Industrial predictive maintenance and manufacturing tasks frequently contain abundant sensor measurements, but with limited labeled data.RoboColosseum: Evaluating Physical Intelligence at Scale In-The-Wild
General-purpose robot policies must work across robots, tasks, and environments, yet the variation that makes physical trials informative also makes them difficult to reproduce.Towards Multi-Value Alignment via Value Localization in LLMs
Aligning large language models (LLMs) with multiple, potentially conflicting human values remains challenging, as existing multi-objective alignment methods often require costly fine-tuning and…AttentionIndex: Accelerating Learned Sparse Attention with a Causal Inverted-File Index
Learned sparse attention, used in production models such as DeepSeek-V4 and GLM-5, lets each query attend to only k keys chosen by a lightweight indexer, but the indexer still scores every key in…A balloon effect: ban one channel and a hidden trait finds another
Language models trained on the outputs of other models can acquire traits that those outputs never mention, such as a preference for an animal carried by lists of numbers.Neuro Inspired Robotics: What Robot Learning Can Borrow from the Sensorimotor Brain
Robot policies still fail at everyday manipulation: an unfamiliar task, an object never held before, a scene that changes mid-motion, a skill that should improve with use.When Prediction Shapes the Future: A BlueSky Agenda for Reflexive Time Series Analysis
Time-series models are increasingly deployed in operational systems (e.g., inventory management and clinical care) where predictions trigger interventions that alter future observations, producing…Latent Spectral Prompting for Multimodal Hyperspectral Object Tracking
Hyperspectral videos provide rich spectral signatures for robust tracking under challenging conditions such as camouflage and low illumination.Cumulative and Audited Guardrail Tool Evolution for LLM Agent Safety
Large language model (LLM) agents increasingly operate in open-world environments where safety risks cannot be fully predefined.FORGE: Fault-Oriented Rework Code Generation for Executable Interlocking Assembly
Large language models have demonstrated strong capabilities in structured reasoning and code generation, yet identifying an assembly fault does not guarantee the ability to generate executable…Scientific Liquidity Agents: An Agent-Based Model of Knowledge Arbitrage in Scientific Communities
Scientific knowledge gains new uses when ideas, methods, and results move between research contexts.Sequential Recovery Updates for Learned Controllers under Successful-Trajectory Preservation
A competent learned controller already recovers from many disturbances.