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: 4,998 arXiv preprints and 2 OpenAlex records.
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Newest papers, page 33
Stage-aware Multimodal Brain Graph Contrastive Learning for Neurodegenerative Disorder Diagnosis
Neurodegenerative disorders are characterized by their progressive nature, with distinct stages that require precise identification and tracking of progression trajectories for accurate diagnosis.DIKT: A Diagnostic and Interpretable Knowledge Tracing Framework for Prediction and Model-based Learning Analysis
Knowledge tracing is a key component of intelligent educational systems.Human-Centred, Risk-Constrained Evaluation of Financial Document Recognition: Evidence, Critical Errors, and Selective Automation
Financial document recognition is often assessed using character and word error rates, although these metrics do not express whether a system preserves the financial facts on which people and…LipLingo: CNN Model for Lip Reading
Lip reading plays a crucial role in applications such as speech recognition, assistive technologies for the hearing-impaired, and biometric authentication.Spectral Degeneration of Self-Attention under Isotropic Score Geometry
We study the spectral structure of the self-attention matrix in Transformer models through an idealized spectral model for the pre-softmax score matrix.Stop Handcrafting Your Engine! GenDB-V: Towards AI-Generated and Formally Verified Database Systems
For over 50 years, the database community has developed a wide range of successful engines to answer two fundamental questions: how can database systems run faster, and how can we ensure their…Rethinking Neural Decompilation: Candidate Selection as the Hidden Bottleneck
Reverse engineering obfuscated binaries is a core task in malware analysis and software security auditing.MultiMental-IAS: A Multimodal Driver Mental State Analysis Dataset for Context-Aware Non-IID Evaluation
Robust driver-state modelling requires synchronized physiological, behavioural, and contextual signals, yet existing open resources typically target a single cognitive state, omit continuous vehicle…DrawOffer: Evidence-Grounded Longitudinal User-State Modeling for Career Support
Career-support assistants must distinguish user claims from evidence of current ability and withhold judgments when evidence is insufficient.SelfImprove-Bench: Evaluating Generalization in Self-Improving Agents
Recursively self-improving (RSI) systems are increasingly viewed as a promising means of accelerating progress toward artificial general intelligence.Analysing the Narrative Paradox through Formal Models and Properties in Interactive Narrative
Interactive narratives aim to let players influence the unfolding of a story while preserving a coherent and satisfying narrative progression.OmniOPD: Stable On-Policy Distillation for Joint Audio-Video Generation
Reinforcement learning (RL) elevates joint audio-video generation, but optimizing heterogeneous, modality-specific audio and video rewards often introduces cross-modal interference.Creating Hybrid Interactive Narrative Systems with LLM: From Formal Description to Evaluation
Interactive narratives let users shape a story while an Experience Manager (EM) keeps it coherent, balancing player freedom against authorial control.Offline Approximate Value Iteration: A Reinforcement Learning Approach for Satellite Constellation Deployment
This paper introduces a reinforcement learning-based approximate dynamic programming approach to optimize the deployment of Walker-type satellite constellations under uncertainties, including launch…Predictive Safety Guardrails Do Not Always Make LLM Agents Safer
Large language model agents increasingly take consequential actions in digital and physical environments, where safety risks may emerge only after multiple interaction steps.Discovering hierarchical governing equations for community-structured complex network dynamics with LLM agents
Governing equations provide an interpretable description of the mechanisms underlying complex network dynamics, yet their discovery from observational data remains challenging when shared…RxnMiner: A Multimodal Agent for Structured Reaction Data Extraction from Chemistry Figures
Reaction data underpin machine learning for reaction prediction, condition recommendation, and retrosynthetic planning, yet extracting these data from literature figures still requires substantial…Think with Skills: Pseudocode Planning Before Execution for Advanced Reasoners
Language model agents often struggle with complex tasks even when equipped with expert-written skills.Reimagining computational quantum research with AI scientists
AI scientists are expanding automated research across scientific domains, yet their ability to turn the scientific record into a foundation for autonomous discovery remains elusive.CARE: Grounded Recursive Self-Improvement for Production Customer-Service Agents
Recursive self-improvement (RSI) in production agents involves transforming accumulated experience into reliable model updates while adapting to evolving business policies.